Adopting dynamic self tuning fuzzy worked on output voltage regulation of DC-DC buck converters

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Adopting dynamic self tuning fuzzy worked on output voltage regulation of DC-DC buck converters

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Abstract

In this paper a dynamic self tuning fuzzy controller scheme is proposed for output voltage regulation of DC-DC Buck Converters and is verified by means of simulation. The proposed fuzzy controller scheme adapts the scale factor of its output variable depending on the continuous measurement of absolute error output voltage. Fibonacci search method, a one dimensional nonlinear function minimization algorithm is used to optimize the switch over absolute error value and scale factors of output variable under noisy feedback voltage measurements for the desired output voltage setting under specified parameter variations. Based on the optimized switch over absolute error voltage, fuzzy controller output membership function scale factor adaptation action is initialized which guarantees desired transient and steady state response under different input voltage and output loading conditions.

Abstract
Introduction
Fuzzy controller configurations
Buck converter considered in the present work
Algorithm and validation
1. Algorithm
2. Simulation validation
Conclusion
References

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[...] In the closed loop operation the duty cycle dD is adjusted by the dynamic rule base fuzzy logic controller based on the normalized error regulation voltage and its rate of change of error regulation voltage ALGORITHM AND VALIDATION A. Algorithm Step Start Step Initialize the fuzzy controller based on Mamdani Fuzzy Inference System. Step Set/Reset scale factor 1 for the output variable CDC of the fuzzy logic controller. Step Simulate the closed loop system with fuzzy controller under noise free feedback sensor measurement condition and nominal system parameters to compare the response parameters with that of the performance specifications. [...]

[...] In the present work we have considered direct fuzzy control architecture and self tuning adaptation, wherein fuzzy controller rule modification is based on the measured absolute error output voltage as the performance index BUCK CONVERTER CONSIDERED IN THE PRESENT WORK The buck converter circuit considered in the present work is as shown in the Fig Fig Buck Converter Circuit At high frequencies the following differential equations describes the dynamics of the above buck converter configuration. dU c 1 = (iL ia ) dt C diL 1 = ( ( rL + rC )iL + rC ia rsiL d D + V d D ) d dt L dia 1 = (uc + rC iL ( ra + rc )ia Ea ) dt La where, Vd=Supply voltage, rs=On state switch resistance, S is the high frequency switch, D is the freewheeling diode, L = Filter inductance, rL=Equivalent series resistance of iL=Filter inductor current, C=Filter Capacitance, rC=Equivalent series resistor of the capacitor, UC=Capacitor voltage, La=Load inductance, ra= Load resistance, ia=Load current and Eb=Back EMF of the load. [...]

[...] Driankov, H Hellendoorn, M Reinfrank, Introduction to Fuzzy Control”, Berlin: Springer-Verlag Weitian Chen and Mehrdad Saif, Novel Fuzzy System with Dynamic Rule IEEE Transactions on Fuzzy Systems, vol pp. 569-582, Oct John Yen and Reza Langari, “Fuzzy Logic, Intelligence, Control and Information”, Pearson Education, LPE, First Indian Reprint 2003, ISBN 81-7808-906-8. C J Harris, C G Moore and M Brown, “Intelligent Control: Aspects of Fuzzy Logic and Neural Networks”, World Scientific T Johansen, “Fuzzy Model Based Control: Stability, Robustness and Performance Issues”, IEEE Transactions on Fuzzy Systems, Vol pp. [...]

[...] 1303- Fig Duty Cycle Response corresponding to response of Fig (dD v/s Fig Output Voltage Time Response (ua v/s for Vd=40V to 36V, ra=5 to 7 at 0.02 s G. C. D. Sousa and B. K. Bose, fuzzy set theory based control of a phase-controlled converter DC machine drive”, IEEE Transactions on Industrial Applications, vol pp. 34- L. Mikhailov, A.Nabout, A.Lekova, F. Fisher and H.N.Eldin, “Method for fuzzy rules extraction from numerical Proceedings of the IEEE International Symposium on Intelligent Control pp. [...]

[...] Fig Duty Cycle Response corresponding to response of Fig Fig Duty Cycle Response corresponding to response of Fig (dD v/s (dD v/s Fig Output Voltage Time Response (ua v/s for Vd=40V to 36V, ra=5 to 7 at 0.02 s CONCLUSIONS In this paper an algorithm for dynamic rule base self tuning fuzzy logic controller is proposed and validated by means of simulation. It is observed that for noisy sensor measurements, there is a need for scale factor adaptation of the output variable of the fuzzy controller. [...]

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