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Modelling and control of a Buck converter Bachelor thesis by Shun Yang Karlskrona, Blekinge, Sweden Date: 2011-06-22 This thesis is presented as part of Degree of Bachelor of Science in Electrical Engineering Blekinge Institute of Technology School of Engineering Department of Electrical Engineering Supervisor: Anders Hultgren Examiner: Jörgen Nordberg i

Modelling and control of a Buck converter Bachelor thesis at Blekinge Institute of Technology By Shun Yang 870924-6030 Examiner: Jörgen Nordberg. Supervisor: Anders Hultgren Karlskrona, Blekinge, Sweden Date: 2011-06-22 ii

Acknowledgement First and foremost I offer my sincerest gratitude to my supervisor, Anders Hultgren, who has supported me throughout my thesis with his patience and knowledge whilst allowing me the room to work in my own way. I attribute the level of my Bachelor’s degree to his encouragement and effort and without him this thesis, too, would not have been completed or written. One simply could not wish for a better or friendlier supervisor. In my daily work I have been blessed with a friendly and cheerful group mate --Gaojun Chen. He has provided good arguments about controller theory and helps me regain some sort of fitness: healthy body, healthy mind. He is a good companion and has had the good grace to pester me much less than average with computer questions. He provided an experienced ear for my doubts about writing a thesis. The Department of Electrical Engineering has provided the support and equipment I have needed to produce and complete my thesis. My deepest gratitude also extend to all lecturers of at Blekinge Institute of Technology (BTH), for their guidance, ideas, and support in completing this final year’s thesis project. This project had opened my eyes on solving real problems and I was able to relate them with what I’ve been studied in BTH during the past 3 years. Finally, I thank my parents for supporting me throughout all my studies at University and providing financial fund to help me to complete my bachelor education. iii

Abstract DC/DC buck converters are cascaded in order to generate proper load voltages. Rectified line voltage is normally converted to 48V, which then, by a bus voltage regulating converter also called the line conditioner converter, is converted to the bus voltage, e.g. 12V. A polynomial controller converter transforms the 12V into to a suitable load voltage, a fraction of or some few voltages. All cascaded converters are individually controlled in order to keep the output voltage stable constant. In this presentation focusing on the polynomial controller converter implemented as Ericsson’s buck converter BMR450. In this paper modeling, discretization and control of a simple Buck converter is presented. For the given DC-DC-Converter-Ericsson BMR 450 series, analyzing the disturbance properties of a second order buck converter controllers by a polynomial controller. The project is performed in Matlab and Simulink. The controller properties are evaluated for measurement noise, EMC noise and for parameter changes. Keyword: polynomial controller, second order, buck converter iv

Table of Contents Acknowledgement . iii Abstract . iv List of Tables . vi List of Figures . vii List of Symbols . viii Chapter 1. Introduction . 1 Chapter 2. Modeling of Buck Converter. 3 Chapter 3. Polynomial Controller Design. 11 Chapter 4. Simulation on MATLAB . 15 Chapter 5. Results and Conclusion . 19 References . 30 Appendix . 31 Appendix A Simulink Models . 31 Appendix B MATLAB Code . 33 Appendix C Interesting Phenomenon found in the simulation . 38 Appendix D Transfer function . 42 v

List of Tables Table 1 Table 2 Table 3 Table 4 Table 5 Table 6 Parameters of Buck Converter . 2 Parameters of system . 10 Polynomial coefficients of system. 10 Pole Placement of Polynomial Controller . 14 Coefficients of Polynomial controller . 14 Parameters of system . 27 Appendix Table 1 Appendix Table 2 Appendix Table 3 Appendix Table 4 Capacitor’s Resistor equals Inductor’s . 38 Capacitor’s Resistor is bigger than Inductor’s . 39 Capacitor’s Resistor is smaller than Inductor’s . 40 Capacitor’s Resistor equals Inductor’s . 40 vi

List of Figures Fig. 1 Overall system circuit . 3 Fig. 2 PWM Wave . 4 Fig. 3 PWM controlled input voltage dVg . 4 Fig. 4 Circuit with Voltage Source . 5 Fig. 5 Circuit without Voltage Source . 7 Fig. 6 Controller with Buck Converter System [2] . 11 Fig. 7 The shadow region inside the unit cycle is stable for system . 13 Fig. 8 Buck Converter System with polynomial Controller [2] . 15 Fig. 9 System block . 15 Fig. 10 Polynomial controller block. 16 Fig. 11 PWM with polynomial controller . 16 Fig. 12 Relational operator. 17 Fig. 13 Switch . 17 Fig. 14 Saturation condition . 18 Fig. 15 Discrete model without saturation, system output and controller output. 19 Fig. 16 Continue model, system output and controller output . 20 Fig. 17 Simulation result, without disturbance, without noise . 21 Fig. 18 Noise Magnitude . 22 Fig. 19 Output Voltage with noise . 22 Fig. 20 L 0.9μH, C 150μF , Simulation result, with disturbance, without noise . 23 Fig. 21 10%, L 0.99μH, C 165μF, Simulation result, with disturbance, without noise . 24 Fig. 22 -10%, L 0.81μH, C 135μF, Simulation result, with disturbance, without noise . 25 Fig. 23 Simulation result, with disturbance, with noise . 26 Fig. 24 RC 50mΩ, C 500μF, Simulation result, with disturbance, without noise . 26 Fig. 25 Output Voltage before and after disturbance when RL 2mΩ, RC 50mΩ, C 500uF . 27 Fig. 26 Output Voltage filtered noise when RL 2mΩ, RC 50mΩ, C 500uF . 28 Fig. 27 Output Voltage with noise when RL 2mΩ, RC 50mΩ, C 500uF . 29 Appendix Fig. 1 Continuous Time Model without Saturation . 31 Appendix Fig. 2 Discrete Time Model without Saturation . 31 Appendix Fig. 3 Discrete Time Model with Saturation . 32 Appendix Fig. 4 PWM Model with Controller . 32 Appendix Fig. 5 Output Voltage before and after disturbance when RL 2mΩ and RC 2mΩ . 38 Appendix Fig. 6 Output Voltage before and after disturbance when RL RC . 39 Appendix Fig. 7 Output Voltage before and after disturbance when RL RC . 40 Appendix Fig. 8 Output Voltage before and after disturbance when RL 10mΩ and RC 10mΩ . 41 vii

List of Symbols % V L C R d DC fs iL yref PWM Percentage Volt Inductor Capacitor Resistor Duty Cycle Direct Current Switching Frequency Switch/Inductor Current Reference Voltage Pulse Width Modulation viii

Chapter 1. Introduction This chapter describes the thesis background, objectives, scopes, and summary. In the chapter, it briefs the description of the buck converter and the voltage-mode controller as well as the objectives and the scopes. At the end, outline of this thesis is given in this chapter. 1.1 Thesis Background Direct current to direct current (DC-DC) converters are power electronics circuits that converts direct current (DC) voltage input from one level to another. DC-DC converters are also called as switching converters, switching power supplies or switches. DC-DC converters are important in portable device such as cellular phones and laptops. Why DC-DC converter is needed? Just image that when wanting to use a device with low voltage level, if connect the device such as laptop or charger directly to the rectified supplied from the socket at home, the device might not functioning properly or it might be broken due to overcurrent or overvoltage. The voltage level needs to be converted to suitable voltage level for the equipment to function properly. In this project, the configuration of DC-DC converter chosen for study was buck configuration. Buck converter converts the DC supply voltage to a lower DC output voltage level. The control method chosen to maintain the output voltage from the buck converter was polynomial controller. Polynomial controller technique compares the actual output voltage with the reference voltage. The difference between both voltages will drive the control element to adjust the output voltage to the fixed reference voltage level. This is called as voltage regulation. 1.2 Thesis Objectives The main objective of this project is to design a buck converter controller based on the theory for discrete polynomial controllers. A basic introduction can be found in [1].The converter control signal is implemented as a Pulse Width Modulated signal making the system into a switched system. It is then interesting to find the nonlinear system properties by simulations. The control design should be evaluated by means of accuracy in output voltage level given some different kind of disturbances. The disturbances are load current changes, measurement noise and parameter variations. 1.3 Thesis Scopes The scopes of this thesis are: i. Study the operation of buck converter. ii. Design the mathematical system model. iii. Design the polynomial controller. iv. Simulation of buck converter and controller circuit using Simulink and MATLAB in order to test the properties of the system. v. Get the conclusion from simulation result. 1

The parameters used in the project are as below, see Table 1. Table 1 Parameters of Buck Converter Topology DC-DC Buck Converter Inductance L 0.9μH Capacitance C 150μF / 500μF Resistance of Inductor RL 2mΩ / 10 mΩ Resistance of Capacitor RC 2mΩ / 10mΩ / 50mΩ DC Input Voltage Vg 12V Reference Voltage (Expected DC Output Voltage) yRef 3.3V Wanted Inductor Current iI 0-20A Sample Frequency fs 330kHz Sample interval h 3μs 1.4 Outline of Thesis This thesis consists of 5 chapters. In the first chapter, it discusses thesis background, objectives, and scopes. In Chapter 2, building of mathematical system model and theories on buck converter are displayed. The polynomial controller design is showed in Chapter 3 while the simulation implementation on Matlab and Simulink are offered in Chapter 4. In Chapter 5, it discusses the simulation result and conclusions obtained upon successfully completing thesis project. Finally, the last part in the thesis provides the references and appendices used in the thesis project. 2

Chapter 2. Modeling of Buck Converter A Buck converter consists of a transistor and diode that applies the supply voltage on an inductor capacitor, LC, circuit. The output voltage is the voltage across the capacitor. The input voltage u on the LC circuit is controlled by pulse width modulation, PWM. i.e. part of a cycle time, the voltage applied on the LC circuit is Vg and the rest of the cycle time the input voltage is zero. The range of duty cycle, d [0, 1], is the relative time of the cycle time that the supply voltage is connected to the circuit, i.e. the input is Vg. The duty cycle d is the control signal to the Buck converter. A circuit diagram can be seen in Fig. 1. Switch RL L node 1 Vg RC node 2 iI C Fig. 1 Overall system circuit The system need to be modeled to get the relationship between the input signal and output. The Buck converter system is a switched system. It consists of two switching states: firstly, when the switch is connected to node 1, charging status; secondly, when the switch is connected to node 2, discharging status. The switched system can be modeled as an averaged system. The averaged system describes the switched system up to about one tenth of the PWM frequency. In this chapter deriving the two system models of these two switching state, and then take the average of the two systems according to the duty cycle. PWM is the method of choice to control modern power electronics circuits. The basic idea is to control the duty cycle of a switch such that a load sees a controllable average voltage. To achieve this, the switching frequency (repetition frequency for the PWM signal) is chosen high enough that the LC filter cannot follow the individual switching events. In this case, the sampling interval is 3μs. So the sample frequency is 330 kHz, see Fig. 2. 3

1 0.9 0.8 PWM wave 0.7 0.6 0.5 0.4 0.3 0.2 0.1 0 0 0.5 1 1.5 Time Fig. 2 2 2.5 3 -5 x 10 PWM Wave The Fig. 2 shows PWM signals for saw-tooth wave. With pulse-width modulation control, the regulation of output voltage is achieved by changing the duty cycle of the switch, keeping the frequency of operation constant. Duty cycle refers to the ratio of the period for which the voltage source is kept connected to the cycle period. A clearer understanding can be acquired by the Fig. 3 Discrete polynomial controlled Buck, switched continuous model with saturation controlled input voltage, controller output, PWM wave 4 dVg/3 d pwm 3.5 3 2.5 2 1.5 1 0.5 0 0.5 1 1.5 2 Time Fig. 3 2.5 -5 x 10 PWM controlled input voltage dVg When the controller output (green line) d, is bigger than the saw-tooth waveform (red line), the switch will be connected to node 1, which is charging status and the input voltage(blue line) is 12V. Otherwise, the switch will be connected to node 2, discharging status and the input voltage is 0V. 4

The frequency of the repetitive waveform with a constant peak, which is shown to be a saw-tooth, establishes the switching frequency. This frequency is kept constant in a PWM control. 2.1 Build model with voltage source At first, the voltage source is included in the circuit when the switch is connected to node 1, see Fig. 4. RL L RC Vg C Fig. 4 iI Circuit with Voltage Source The simple Buck converter can be modeled as Equation Chapter 2 Section 1 iU iC iR C iRL uL u I 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 0 1 1 0 1 0 uU 1 1 uC 1 1 uRC 1 0 uRL 0 0 iL 0 0 iI (2.1) Where u is the voltage to the converter and i is the current. The network model can be described in the simple form: iC 0 0 0 1 uC 0 1 iRC 0 0 0 1 uRC 0 1 uU i 0 0 0 1 u 0 0 i I RL RL u 1 1 1 0 i 1 0 L L (2.2) Modeling the two energy storing components it has: iC 0 1 uC 0 1 uU 0 0 uRC uL 1 0 iL 1 0 iI 1 1 uRL (2.3) The last term can be eliminated using iRC iRL 0 1 uC 0 1 uU 0 1 iL 0 0 iI and 5 (2.4)

uRC uRL RC 0 0 iRC RL iRL (2.5) 0 0 1 uU RL 0 0 iI (2.6) So: uRC uRL RC 0 0 0 1 uC RC RL 0 1 iL 0 Then it can simplify the equation: iC 0 1 uC 0 1 uU 0 0 0 RC uU 0 iI uL 1 0 iL 1 0 iI 1 1 0 1 0 uC 0 1 uU 1 RC RL iL 1 RC iI (2.7) As the output voltage is the sum of capacitor voltage and resistor voltage, where resistor voltage is the product of current and resistor, then it has u0 uC uRC (2.8) uRC RC iL (2.9) u u0 uC uRC 1 RC C iL (2.10) iC 0 1 uC 0 uU uL 1 RC RL iL 1 u 1 R uC C 0 iL Including the constitutive equations, the system is modeled by d dt uC 0 d i 1 L dt L 1 0 uC C RC RL iL 1 L L 1 C uU RC iI L (2.11) u0 1 RC uC 0 0 uU iL 0 1 iL 0 0 iI (2.12) (2.13) The ABC-differential equation system is given as x A1 x B1u y C1 x 6 (2.14)

0 A1 1 L 1 C RC RL L 0 B1 1 L (2.15) 1 C RC L (2.16) 1 RC C1 0 1 (2.17) Where u is the input of system which is Vg in the diagram and y is the output of the system. 2.2 Build model without voltage source When the switch is connected to node 2, the voltage source is not included in the circuit. Then the circuit is as below, see Fig. 5. RL L RC C Fig. 5 iC iRC i RL uL uI iI Circuit without Voltage Source 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 7 1 1 uC 1 1 uRC 1 1 uRL 0 0 iL 0 0 iI (2.18)

iC 0 0 0 1 uC iRC 0 0 0 1 uRC i 0 0 0 1 u RL RL u 1 1 1 0 i L L Modeling the two energy storing components: 1 1 i 0 I 0 iC 0 1 uC 0 0 uRC uL 1 0 iL 1 1 uRL iRC iRL 1 iI 0 0 1 uC 1 iI 0 1 iL 0 uRC uRL RC 0 0 iRC RL iRL (2.20) (2.21) uRC RC 0 0 1 uC RC uRL 0 RL 0 1 iL 0 0 RC uC RC iI 0 RL iL 0 (2.19) (2.22) 0 1 i RL 0 I (2.23) Then it can simplify the equation: iC 0 1 uC 1 iI uL 1 0 iL 0 0 0 0 RC uC 0 0 RC iI 1 1 0 RL iL 1 1 0 (2.24) 1 0 uC 1 iI 1 RC RL iL RC Including the constitutive equations, the system is modeled as below: d dt uC 0 d i 1 L dt L 1 1 uC C C iI RC RL iL RC L L (2.25) The ABC-differential equation system is given as d dt uC 0 d i 1 L dt L 1 1 0 uC C C uU RC RL iL RC iI 0 L L (2.26) x A2 x B2 u (2.27) 8

u0 1 RC uC iL 0 1 iL (2.28) y C2 x (2.29) 2.3 Get average system The time averaged system can be derived as the weighting averaged of the two models. The averaged system Saverage, system S1 with voltage source and system S2 without voltage source. Assuming the duty cycle d, and then it has Saverage d S1 1 d S2 (2.30) As it can be observed that ABCD matrix of the two systems, that ACD matrices are the same while the B matrix are different. So only need to take the average value of B matrix. B d B1 1 d B2 (2.31) The B matrix can be written as: B d ( B11 B12 ) 1 d ( B21 B22 ) (2.32) 0 0 0 1/ Cc where B11 and B12 0 R / L 1/ L 0 c 0 0 0 1/ Cc B21 and B22 0 R / L 0 0 c Then the calculation is as below: 0 0 0 1/ Cc Vg 0 0 0 0 0 1/ Cc Vg Bu (1 d ) 0 R / L I d 1/ L 0 c 0 0 0 0 0 0 Rc / L I 0 0 Vg / L 0 Vg / L 0 0 I 0 / Cc 0 0 0 I 0 / Cc d (1 d ) 0 0 I 0 Rc / L 0 0 0 I 0 Rc / L (2.33) 0 0 I 0 / Cc d 0 0 I 0 Rc / L I 0 / Cc d 0 Vg / L Rc / L I 0 Then the averaged system is as below: x Ax Bu y Cx Writing the continuous-time system in a detailed way: 9 (2.34)

d dt uC 0 d i 1 L dt L 1 C R RL C L 0 uC iL Vg L I0 Cc d Rc I 0 L (2.35) Since B is the averaged result of the switched system and the input voltage and the capacitor, resistor and inductor values are fixed. So B will be decided by the duty cycle d, the value of B will change when duty cycle d changes, so arranging d be the control signal. As the averaged system is a continuous time system, it needs to be transferred it into a discrete time system. So taking samples from the continuous time system by a sampling interval h. The discretization is performed using Matlab, see Appendix B. The zero order holder is assumed on the input signal, when performing the discretization. The discrete-time transfer function. Given the system x Fx Gu y Cx (2.36) The transfer function is given by Y 1 (2.37) C zI F G U As it is mentioned in chapter one, the suitable parameters for the first performed simulation as below, see Table 2. H z Table 2 Parameters of system Topology Values Inductance L 0.9μH Capacitance C 150μF Resistance of Inductor RI 2mΩ Resistance of Capacitor RC 2mΩ Sampling interval h 3μS PWM sampling interval hPWM 30ns And then the system coefficients as below, see Table 3. Table 3 Polynomial coefficients of system System Polynomial coeffecients Values a1 -1.9209 a2 0.9868 b1 0.4746 b2 0.3157 10

Chapter 3. Polynomial Controller Design The controller with buck converter system is as below, see Fig. 6. V z Controller Yref z System 1 C z Kr U z H z B z A z Y z D z Fig. 6 Controller with Buck Converter System [2] It gets the reference voltage as input of the controller and u as the output of controller, while u is the input of buck converter system and y is the output of buck converter system. Equation Chapter 3 Section 1 More importantly, yref serves as the feedback of the system and it will be compared with the reference voltage. And by the comparing, the controller will adjust to make the output voltage close to the reference voltage. If the output voltage is higher than the reference voltage, then the controller will make the switch open to discharge the circuit; while the output voltage is lower than the reference voltage, the controller will close the switch to charge for the circuit. The controller is a discrete transfer function, designed in order to get a certain poles in the closed system. (The described design method is adopted from Schmidtbaer, [2]) As in the second order discrete system, transfer function is [2] H z Y z B z b z 1 b2 z 2 1 1 2 U z 1 a1 z a2 z A z (3.1) The transfer function can be expressed as a difference equation [2] y k a1 y k 1 a2 y k 2 b1 u k 1 b2 u k 2 (3.2) A controller is introduced as a general difference equation of the same order as the system’s difference equation [2] u k Kr yref k d0 y k d1 y k 1 d 2 y k 2 c1 y k 1 (3.3) The controller can be given as a Z-transform [2] U z D z d0 d1 z 1 Kr K Y z Y z Y z r Yref z 1 1 ref 1 c1 z 1 c1 z C z C z 11 (3.4)

As Y z U z H z U z Y z B z , the closed system is then given as [2] A z B z D z B z Kr Y z Yref z A z C z A z C z Y z B z Kr Yref z A z C z B z D z (3.5) (3.6) When z 1, Kr can be designed in order to get the correct stationary gain, [2] K r D 1 C 1 B 1 P 1 A 1 B 1 (3.7) This implies that the output signal Y stationary will be equal to the input value Yref(z). For polynomial controller design, looking at the system first. From the system, the transfer function is H z B z A z Then start the designation of polynomial controller, which refer to determine the polynomials C(z) and D(z). 3.1 Get transfer function from system From the system, when taking samples from continuous time model to get the discrete model. Since the system is second order system. The transfer function H(z) B(z)/A(z) have second order, where polynomials B(z) and A(z) have second order in the converter system. As in chapter 2, it has A z 1 a1 z 1 a2 z 2 and B z b1 z 1 b2 z 2 3.2 Design pole placement For pole placement P(z), where P(z) A(z)C(z) B(z)D(z), in order to keep the system stable, which means P(z) 0 has its roots located inside the unit cycle, see Fig. 7 [1]. 12

Z-plane Im 1 1 Re Fig. 7 The shadow region inside the unit cycle is stable for system As it can be seen from Fig. 7, z 0.5, z 0.5, and z 0.5are in the shadow region. Then as the example, it can be chosen as: P( z) (1 0.5 z 1 ) (1 0.5 z 1 ) (1 0.5 z 1 ) (3.8) 3.3 Get polynomial coefficients of C(z) and D(z) When choosing the order of the C and D polynomial, it gives the closed system an arbitrarily pole placement. As the rules of polynomial controller given in Scmidtbaer, the polynomial C(z) and D(z), where C(z) and D(z) satisfy nC nB-1 1 and nD nA-1 1. So polynomial C(z) and D(z) have first order. And the order of polynomial P(z) which is nP nA nB-1 3 It has the rule that the controller should be monic so that assume C z 1 c1 z 1 and D z d0 d1 z 1 Then it has [2] P z A z C z B z D z 1 a1 z 1 a2 z 2 1 c1 z 1 b1 z 1 b2 z 2 d 0 d1 z 1 (3.9) 1 a1 c1 b1d 0 z 1 a1c1 a2 b1d1 b2 d 0 z 2 a2c1 b2 d1 z 3 And it also has P z 1 q1 z 1 1 q2 z 1 1 q3 z 1 1 p1 z 1 p2 z 2 p2 z 3 (3.10) Where q1, q2 and q3 are three chosen poles. p1 q1 q2 q3 p2 q1 q2 q2 q3 q1 q3 p3 q1 q2 q3 Identifying the coefficients for P(z): [2] 13 (3.11)

p1 a1 c1 b1 d 0 p2 a1 c1 a2 b1 d1 b2 d 0 (3.12) p3 a2 c1 b2 d1 By calculation, the solution is as below: [2] b12 p3 b1 b2 a2 p

Ericsson's buck converter BMR450. In this paper modeling, discretization and control of a simple Buck converter is presented. For the given DC-DC-Converter-Ericsson BMR 450 series, analyzing the disturbance properties of a second order buck converter controllers by a polynomial controller. The project is performed in Matlab and Simulink.

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