Tag Archives: MOSFET

C2000 Solar MPPT Tutorial 3

C2000 Solar MPPT tutorial Pt/2

 

In this second part of the C2000 Solar MPPT Tutorial, the hardware and circuit design will be looked at in greater depth.  The schematic for the system is posted again below for reference, which can be enlarged by simply clicking on it.

C2000 Solar MPPT Tutorial PWM and MPPT update frequency zoomed hardware schematic

Buck Converter Design

The first step was to design the buck circuit, this is determined by the output parameters of the system and it’s load.  For the first prototype based around the panel purchased for testing, it was decided to aim for a 12V output, therefore a maximum current of 750mA (assuming 10% losses).

When calculating a buck circuit the frequency of operation, inductor size and output capacitor size are important, as they determine the current and voltage ripple size.  It is desirable to have as smaller current and voltage ripple as possible.  A large current ripple can cause additional losses in a system, as there maybe times when the peak current is greater than the load requirements.  A large voltage ripple is obviously not desirable, good quality regulated power supplies have very low voltage ripples.

A general rule is the higher the frequency the smaller the inductor and output capacitor size, and a smaller inductor and capacitor size generally lowers the system cost.  However higher PWM frequencies decrease the system efficiency due to switching losses in the mosfets, so a trade off has to be reached which meets the design constraints of the end system.

For this system a PWM frequency of 15kHz was chosen, based on this, the solar panel and other design parameters for the buck circuit calculations can be performed.  First we can determine the system duty cycle at MPP, note the duty cycle will change to track the MPP with differing irradiance.  A figure of 90% was used for the buck converter efficiency,a typically buck converter efficiency is 90% or greater.

C2000 Solar MPPT Tutorial duty cycle equation

Next an ideal current ripple can be determined, it is important to note that the below formulae used only determines a single phase current ripple.

C2000 Solar MPPT Tutorial current ripple equation

ΔIL is the inductor ripple current, and in this case a 30% figure was used for the multiplier. Now that the current ripple is know the inductor size can be calculated with the following equation.

C2000 Solar MPPT Tutorial inductor size equation

Using two 1.34mH inductors on each phase will ensure the inductor ripple current is effectively halved, knowing this an inductor ripple current of 90mA can be used to calculate the minimum output capacitor size.

C2000 Solar MPPT Tutorial output capacitor size equation

Δvout is the desired ripple voltage.  The constant 8 is determined by the simplification of an equation, which can be found in various sources, one such source is an Application Note by On-Semiconductor AND9135/D.

There are two other factors for the inductor and capacitor that are important to consider: the inductor peak current and the capacitors Equivalent Series Resistance (ESR).  The inductor for this project will be hand wound using a toroidal core, which will be covered shortly.  The capacitors ESR can affect the reliability of the capacitor.  A capacitor will dissipate power as heat depending on it’s ESR, so a low ESR is desirable as excessive heating will shorten the life of a capacitor and be less efficient.  For this early prototype, cheap off the shelf capacitors were used as their reliability over time was not a concern at this stage.

The inductors were constructed using a T68-26A toroidal core, this core has a nominal inductance or Al value of 58nH.  The following equation was used to determine how many turns of wire the core would need.

C2000 Solar MPPT Tutorial inductor turns ratio equation

A 0.3mm outside diameter enamelled cable was chosen, this has a maximum current rating of 1.4A.  Then a very useful website found here was used, this allows you to calculate the total length of cable required based on the toroidal core dimensions and cable diameter. Using a vice the cores were both wound and then measured using a LCR meter and measured at 1.3mH, an image below shows the hand winding process used.

C2000 solar MPPT toroidal inductor core winding

MOSFET Losses

For the prototype system Vishay IRFI640G MOSFETs were used, these are not the most efficient having a high RDSON value (180mΩ), but they were stocked at the time of writing.

The power losses from the High Side and Low Side MOSFETs are a combination of conduction and AC switching losses.  The conduction losses are a result of I²R losses inside the MOSFET when it is fully on, and the switching losses are the result of the MOSFET transitions from its on and off states.  Some example calculations will now be shown using data from the IRFI640G datasheet and various sources, on a synchronous MOSFET buck circuit efficiency.

C2000 Solar MPPT Tutorial switching losses legend

The first equation is for the High Side MOSFET and is based on the Vmp of the solar panel at maximum output current running through each interleaved phase.

C2000 Solar MPPT Tutorial High Side losses equation

The next equation is for the Low Side MOSFET using the same current figure.

C2000 Solar MPPT Tutorial Low Side losses equationThe results from these two equations can be combined to work out the overall efficiency, the losses will also be multiplied by a factor of 2 as this is for a two phase interleaved circuit.

C2000 Solar MPPT Tutorial 15kHz Power losses equation

Now if we increase the PWM frequency to 150kHz, the circuit losses will also be shown to increase.

C2000 Solar MPPT Tutorial 150kHz Power losses equation

The switching losses in this next example will be shown to increase with increasing current, the next example uses a 15kHz switching frequency but with 2A, increasing the overall power to 24W.

C2000 Solar MPPT Tutorial 15kHz at 2A Power losses equation

A MOSFET with a lower RDS(ON) will have lower conduction losses, but it will typically have a higher QG (Gate Charge) resulting in higher switching losses.  Therefore a careful balance between these characteristics should be found to maximise the circuits efficiency.  Taking into account the nominal parameters of the system, such as input voltage, output current, switching frequency and duty cycle, will allow the best efficiency to be achieved.  This will often involve using MOSFETs with different characteristics for the High and Low Side drivers.

 

MOSFET Driver Circuit

The Half-Bridge (H-Bridge) driver is an IC designed specifically for driving MOSFETs. The IC takes the incoming PWM signal, and then drives two outputs for a High and a Low Side MOSFET.  This type of H-bridge is often used to to drive motors, but has other applications such as the following example.  The IC used is a IRS2003 half bridge driver made by International Rectifier, the image below shows an example circuit from the datasheet.

C2000 Solar MPPT Tutorial IRS2003 example circuit

The IRS2003 allows 2 PWM signals to be connected to HIN and LINNot this gives the user the opportunity to fine tune the dead-band switching of the MOSFETs.  The capacitor wired between VB and VS along with the diode form a charge pump, this allows the drive voltage to the MOSFETs to be almost doubled.  HIN and LINNot in this case are wired together and supplied with the same PWM signal, the IRS2003 has internal timing to ensure the High Side MOSFET, and the Low Side MOSFET are never on at the same time.  The capacitor between VB and VS needs to be sized to ensure it can drive enough current to the gate of the chosen MOSFET, over coming the gate capacitance.

ADC Feedback Circuits

There are four ADC ports used on this project, two sampling voltage and two sampling current.  The hardware employed to sample the voltage signals will be covered first, followed by the current sampling circuit.  But first a brief introduction to the TMS320F28027 ADC.

The ADC measures voltage from 0V to 3.3V, with a 12bit resolution.  It is important to not exceed the input voltage of the microcontrollers GPIO pins, the TMS320F28027 has a maximum input voltage of 3.63V.  Using this information the step resolution for the ADC can be calculated.

C2000 Solar MPPT Tutorial ADC resolution equation

The input on the ADC also has a small internal capacitance and resistance, this is used for Sample and Hold acquisition depending on the characteristics of the circuit being sampled. The internal ADC circuit taken from the TMS320x2802x datasheet is shown below.

C2000 Solar MPPT Tutorial internal ADC S-H

To ensure the readings being sampled are as accurate as possible, the source resistance or RS shown in the above image ideally needs to be as small as possible.  This will be achieved by placing an opamp configured as a unity gain buffer in all the ADC sample circuits.  The unity gain buffer will ensure a high input impedance, therefore reducing loading effects on the sampled circuitry to a minimum, as well as offering a very low output impedance to the C2000 internal ADC circuit.  Rail to rail opamps were used and supplied with 3.3V, this ensured the voltage passed to the ADC would not exceed this, thus ensuring the system has ADC protection built in.

The voltage sampling circuits consist of a simple potential divider, the maximum voltage the solar panel can produce is 21.6V when open circuit.

C2000 Solar MPPT Tutorial voltage potential divider equation

The same resistor and opamp configuration is used for the input and output voltage measurement.  A more complex opamp circuit could have been used with offset, to fully exploit the range of the ADC, however this would provide more than enough accuracy for the prototype.

The current sampling circuit involved a slightly more complex approach.  The circuit would revolve around a Texas Instruments INA138 High Side Measurement current shunt monitor. The INA138 is basically a differential amplifier housed inside a small package, with a wide operating voltage.  The INA138 would be supplied with 12V, this then allows for a greater range to be measured around the 0V-3.3V range and was also the second supply voltage available for this circuit.  A typical configuration taken from the datasheet is shown in the image below.

C2000 Solar MPPT Tutorial INA138 typical circuit

There are differences in input and output current so two formulas would be needed to ensure the range was correct.  The shunt resistors comprised of two 1Ω (1%) resistors in parallel, so the combined value becomes 0.5Ω.  The parallel resistors were measured and the actual value was approximately 0.47Ω.  A quick calculation to check these could withstand the power loads was made.

C2000 Solar MPPT Tutorial shunt resistor power equation

This was not the best long term solution, but within tolerance for the 1% resistors in parallel.

The shunt resistor is connected directly across the internal differential amplifiers inputs. The calculations for the INA138 are fairly simple, the gain resistor soldered externally determines the overall gain of the device.  The datasheet for the INA138 states that the device has a gain of 1 with a 5kΩ resistor, gain of 2 with a 10kΩ, gain of 5 with a 25kΩ and so on and so forth. The input and output current gain resistors were calculated as follows.

C2000 Solar MPPT Tutorial INA138 gain resistors equation

These values would ensure the output from both the current feedback circuits falls in-line with the ADC input.

Schematic Design and Layout

Certain aspects of the design were simulated in OrCad 16.6 first, to back-up the theory with simulation.  Then the design was taking over to EagleCad to enable faster prototyping.  Component symbols and foot prints where designed for all the non standard parts, ensuring these were all compatible with the LPKF milling machine used.  Once the schematic design was complete and the Electrical Rule Check (ERC) and Design Rule Check (DRC) were satisfactory, a schematic design was made for a two layer board.  The layout kept the PWM and digital switching side and analogue circuitry away from each other to avoid unnecessary noise.  The below image shows the final PCB prototype layout.

C2000 Solar MPPT Tutorial PCB layout

The next part of this tutorial will go more in-depth into the C2000 software and Perturb and Observe algorithm, also including a downloadable version of the C code.

I take great care when writing all the tutorials and articles, ensuring all the code is fully tested to avoid issues for my readers.  All this takes time and a great deal of work, so please support the site by using the Adfly links etc.  If you have found this useful or have any problems implementing, please feel free to leave a comment and I will do my best to help.

PID tutorial C code example using a Stellaris LM3S6965

PID Tutorial C code Example Pt/2

In this PID tutorial C code example Pt/2, the basic concept of a Boost PID controller will be explored.  All the PID controller C code is stepped through, as well as some basic concepts for testing and tuning the controller.  The final C code example can be downloaded via the link at the end of the article.

Hardware Overview

The image below shows a rough blocked out diagram of the boost circuit and feedback loop.

PID Tutorial C code Example using a Stellaris LM3S6965

As can be seen it’s a fairly simple design, with the output voltage being monitored and fed back to the LM3S6965.

A schematic for the boost converter can be seen below, this circuit was originally made to test a variable voltage boost converter.  The original design would use a 5V input which would then be boosted to either 9V, 12V or 15V, this was controlled via a state machine running on the Stellaris LM3S6965.

PID Tutorial C code Example using a Stellaris LM3S6965

The drive circuit for the mosfet uses 2 transistors in a totem pole configuration, and a 3rd transistor is to ensure a small current is sourced from the LM3S6965.  The main boost circuit itself consists of L1, Q1, D1 and C3.  The sampled output voltage via the potential divider is first passed through an operational amplifier U1A, configured as a non inverting amplifier which provides a gain of 2.2.  The operational amplifier U1B acts as a unity gain buffer, it’s input is connected to 3 resistors R7, R8 and R9.  These 3 resistors provide the offset voltage of 770mV and U1B ensures there is a high impedance input.  The output of U1B feeds the offset voltage to R4 and then to the negative input on U1A (effectively offsetting ground).  The boost converter was originally set-up to measure voltages between 4V and 19V.  So the operational amplifier arrangement with offset, ensures the sampled voltage range uses almost the full range of the ADC.  For the PID testing the output voltage will be regulated to 9V, which is equal to 353 on the ADC which is also the set point value.

Software

The software used was written after reading various sources on PID.  It has been designed so it is easy to understand, as it uses local and global variables.  A more efficient way would be to use a typedef structure or typedef struct in C.

So firstly we have our constants and global variables.

In the first part of this tutorial the proportional (Kp), integral (Ki) and derivative (Kd) constant values were mentioned.  These are the values which provide the tuning for the PID control system.  The next constant is the set point, this was observed as the read ADC value, when 9V was present on the output.  The 9V was measured and adjusted using a multimeter with a fixed load on the output, the duty cycle had a fixed value which was then increased until 9 volts was reached.  The first 2 global variables are used to store the accumulated and historic error values required for integration and differentiation.  The global variable PWM_Temp is initially given a value, then this is used to store the old duty cycle value, which is then used in the new duty cycle calculation.

The next set of variables are all local to the PID function called PWM_Duty_Change(), all the code that follows will be inside this function, until the closing brace of the function is stated and mentioned.  Additionally the entire code which was used on the LM3S6965 can be downloaded (bottom of the page), so it can be seen how and when the function was called.

The first 2 local variables are called iMax and iMin, these are used to prevent integral windup.  More will explained on integral windup further in the tutorial, but for now we will just run through the variables.  The next 4 variables have already briefly been touched upon in part 1 of this tutorial, these are Err_Value, P_Term, I_Term and D_Term.  Then we are left with new_ADC_value which is simply the latest sampled value form the ADC, and finally PWM_Duty which will be the new PWM duty cycle value passed to the timer module.

The read ADC code does not need much explanation, other than a function was created to read the ADC and return the value as an integer.  If you are using this code on another microcontroller, you simply need to construct an ADC read function, then insert instead of the read_ADC().

Going back to part 1 of this tutorial it was shown that the error value can be obtained, by simply taking the newest error value away from the set point, that’s all this line performs.

To obtain the proportional term the Kp constant is multiplied by the error value.

The accumulated error value is used in integration to calculate the average error, so first the current error value must be added to the accumulated value, and that’s what this line performs.

The if and else if statements are used to cap the accumulated integral term, by simply setting upper and lower thresholds.

The integral term is then calculated by multiplying the Ki constant with the accumulated integral value.

The first line of this code snippet calculates the derivative term.  To understand how the code works the second line needs to be run through quickly, this basically assigns the newest ADC value to the d_temp global variable.  So the d_Temp variable effectively stores the historic error value, therefore allowing the derivative to be calculated.  Now looking at the first line again, the newest ADC value is taken away from the historic value, the difference between the 2 would allow the rate of change to be calculated (assuming the time between the readings is a known quantity). Then this value is multiplied by the derivative constant and assigned to the derivative term.

Now that we have all the PID terms calculated, they can be used to change the PWM duty cycle.  This next piece of code adds all the PID terms together, then they are subtracted from the PWM_Temp variable (PWM_Temp usage is shown shortly as it comes towards the end of the function).  This value is then assigned to the PWM_Duty variable.  The way the PID terms are used here is specific to this program, firstly the sum of the PID terms is subtracted, this is due to the final electronic circuit used.  What’s important here is the PID terms are summed, then they need to be used in such away as to construct a valid PWM duty cycle or other chosen control method.

The if and else if statements are used to prevent the duty cycle from going too high or too low, in this case this simply prevents the output voltage from going too high or too low.  If say you were using a half bridge driver integrated circuit, these usually state a maximum duty cycle of say 99%, if this is exceeded the voltage doubler cannot function correctly, so having limits can be a good protection system.

This line is again limited to this specific application, it simply calls the function adjust_PWM(), which has the new PID calculated duty cycle value, as a parameter.

The final statement in the function before the closing brace, assigns the current PWM duty cycle value to the PWM_Temp global variable.

Integral windup can occur if the integral term accumulates a significant error, during the rise time to the set point.  This would cause the output to overshoot the set point, with potentially disastrous results, it can also cause additional lag in the system.  The integral windup prevention used in this example, places a cap on the maximum and minimum value the integrated error can be.  This effectively sets a safe working value and is considered good working practice in any PID system.  The values used for integral windup as with the PID constant gain values are specific to this system, these would need to be determined and tuned to your system.

Step Response

The intention was to also explore the well documented Ziegler-Nichols approach, however time constraints for the project did not allow this method to be fully explored.  Some basic concepts of how to carry out a step response test will be shown, as I am sure it will prove useful.

The systems step response shows how the system responds to a sudden change, electronic circuits switch quickly, so an oscilloscope was the best piece of equipment for the job.  The boost converter was set up with a fixed load, a fixed PWM duty cycle and no feedback , therefore in an open loop configuration.  Then some additional test code was added, initiating these 2 extra functions when a button was pressed on the LM3S6965 development board :

  1. A free GPIO pin would be taken from low to high
  2. The PWM duty cycle would decrease by 10% effectively increasing the output voltage

The free GPIO pin would be connected to channel 2 on the oscilloscope, and in this way can be used as a trigger to start a capture event.  Channel 1 on the oscilloscope would be connected to the output of the boost converter, thereby capturing the step response as the output voltage rises.  The image below is a photograph of the captured step response on the oscilloscope.

PID Tutorial C code Example using a Stellaris LM3S6965

The GPIO pin was polled before the PWM duty cycle was updated, however this happens so quickly, it is difficult to distinguish this.  The lower square wave type step is the GPIO pin on channel 2, and the top curved step response is the output from the boost converter.  It can be seen to overshoot it’s settling level at the beginning then oscillate for a time before settling down, this oscilloscopes accuracy wasn’t the best, using a longer time base did not show any extra detail on the oscillations.

If the step response was of a first order, a calculation based on the reaction curve could be performed.  However the step response from the boost circuit is of a second order, and has an under-damped nature.  In order to explore this calculation further, requires another tutorial altogether, however further reading on this can be found here.

The step response of a similar system under the control of a PID controller can also be viewed.  This can be achieved by using a similar set up, the external pin is used again to trigger an oscilloscope capture.  That same GPIO pin is also used to switch a mosfet, which places an additional load in parallel with the output of the boost converter.  The PID algorithm will then regulate the output voltage to ensure it meets the set point with the new load, and the step response can then be captured.

Testing and Tuning

The system was set up and a basic tuning approach was used, the image below shows the system on the test bench.

PID Tutorial C code Example using a Stellaris LM3S6965

The image shows the following pieces of equipment:

  • Hewlett Packard multimeter connected to the output, monitoring the output voltage
  • Bench power supply, supplying 5V to the circuit
  • Oscilloscope, used to monitor the PWM duty cycle
  • 0-100Ω bench potentiometer
  • Boost converter PCB, LM3S6965 development board and a laptop to tweak the code

With everything connected the PID algorithm was set up, but with only the proportional part in operation.  The set point was set to 353 as mentioned previously, which produced close to 9V give or take 10-15mV.  The load was fixed and set to 100Ω.  Initially the proportional gain constant Kp was set very low around 0.001, this was too low so it was increased over a few steps until 0.01.  At this point the output voltage was observed to be approximately 7.5V, and the duty cycle waveform was observed to have a small amount of jitter, as the duty cycle fluctuated +/- 0.5%.  The Kp value was again increased, until the output voltage read approximately 8V, the duty cycle was again observed and found to be fluctuating by a greater amount, by approximately +/-5%.  The increase in jitter on the PWM duty cycle can be equated to greater oscillations on the output voltage, the multimeter was not suitable for observing these.  It would have been possible to see them on the oscilloscope but this probably would have involved a stop capture then restart method, therefore to make the process quicker the PWM duty cycle was considered ‘good enough’.

At this point the Kp value was backed off, to the previous level of 0.01 so the output voltage was at 7.5V.  This point can be considered close to the offset level mentioned in part 1 of this tutorial, and for ease of reading the image showing the offset level can again be seen below. This image also illustrates again how too larger Kp value can introduce instability in the output.

PID Tutorial C code Example using a Stellaris LM3S6965

Now with this level reached, the integral part of the algorithm was introduced.  All the hardware was untouched, just a simple modification to the algorithm was made.  The initial value chosen for Ki was 0.01.  This was then loaded on to the LM3S6965 and the output voltage on the multimeter was immediately observed to read 9.02V, +/-10mV.  The oscilloscope was also observed to have minor jitter as before of only a few half percent.  The integral value was not tweaked any further, but in most cases tuning the Kp and Ki values would take a greater time and under a wide range of conditions.

With the PI controller working on a basic level, the next test was to see how it performed under different load conditions.  First the bench potentiometer was left at 100Ω and the input current and output voltage were noted, the wiper was then moved to the middle (approximately 50Ω) and again the output voltage and input current were noted.  At 100Ω the output voltage was 9.02V with a current of 180mA, at 50Ω the output voltage was 8.99V with a current of 500mA, both output voltages still showed minor voltage variations in the +/-10mV range.

The next step was to move the potentiometer wiper rapidly between the 100Ω and 50Ω position, then observe the output voltage and duty cycle (not the most scientific test, but goes some way to demonstrating the system).  With this test being performed the duty cycle was observed to rapidly increase and decrease, too quick to observe anything further and a step response would be the best method to use here.  The output voltage was observed to have a minor variations, fluctuating +/-15-20mV

After this test, the derivative constant was introduced and tweaked to find the best settings. The Kd constant was not observed to have a huge affect on the system, unless increased dramatically which produced instability.  This set up is not ideal for testing the derivative term and a more detailed and longer term approach would be best.

The basic test performed seemed to conclude the PI controller was working as per the research carried out.  The system used here updates at a very fast rate, therefore observing the step response at this point would be best practice.  As this system has no critical importance other than to explore PID, it simply wasn’t necessary to tune it to a high degree of accuracy.  I have a number of projects in the works however, which touch on this subject again and I intend to post them when I have time.

Example Code

The link below contains the zip file with the complete C code and an external functions folder, there is a small advert page first via Adfly, which can be skipped and just takes a few seconds, but helps me to pay towards the hosting of the website.

PID LM3S6965 C code

I take great care when writing all the tutorials and articles, ensuring all the code is fully tested to avoid issues for my readers.  All this takes time and a great deal of work, so please support the site by using the Adfly links etc.  If you have found this useful or have any problems implementing, please feel free to leave a comment and I will do my best to help.