An adaptive incremental fuzzy controller for output voltage regulation of boost converters

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[...] Fig Closed loop response v/s of the IFC scheme for Simulation No (Table VII) Fig Closed loop response v/s of the IFC scheme of Simulation No showing magnified plot of adaptive voltage regulation and parametric changes occurring at 0.125 s (Table VII) 5. REFERENCES 1. R. Redl and N. Sokal, “Current-mode control, five different types, used with the three basic classes of power converter: Small-signal ac and large-signal dc characterization, stability requirement, and implementation of practical circuits”, Proceedings of PESC 1985 Conference, pp. [...]

[...] Further, adaptive features are also introduced in the design of the proposed controller for performance enhancement in the presence of input voltage and parameter variations. Rest of the paper is presented as follows; Section II presents a brief overview on fuzzy controller modeling methods. Section III gives a brief account on DC/DC boost converters relevant to the present work. Section IV presents the proposed algorithm for OVR of DC-DC boost converters and validation of the same by means of simulation. [...]

[...] 221- L X Wang, “Adaptive Fuzzy Systems and Control: Design and Stability Analysis”, Prentice Hall Chapter H Takagi and M Sugeno, “Fuzzy Identification of Systems and its Application to Modeling and Control”, IEEE Transactions on Systems, Man and Cybernetics, vol Witold Pedrycz and Keun-Chang Kwak, Development of Incremental Models”, IEEE Transactions on Fuzzy Systems, vol pp 507518, June Ronald R Yager and Dimitar P Filev, “Essentials of Fuzzy Modeling and Control”, Singapore: John-Wiley and Sons Chapter Singiresu S. Rao, “Engineering Optimisation, Theory and Practice”, India: New Age International Publishers Chapter APPENDIX Fibonacci search technique is the best one dimensional nonlinear optimization method when the interval of uncertainty is known a priori and the function to be minimized is unimodal. [...]

[...] Vs (From 6V at 0.125 R (From 15 at 0.125 Peak-Peak Output Ripple Voltage Fig Closed loop response v/s of the IFC scheme for Simulation No (Table VII) Fig Closed loop response v/s of the IFC scheme of Simulation No showing magnified plot of adaptive voltage regulation and parametric changes occurring at 0.125 s (Table VII) Fig Closed loop response v/s of the IFC scheme for Simulation No (Table VII) Fig Closed loop response v/s of the IFC scheme of Simulation No showing magnified plot of adaptive voltage regulation and parametric changes occurring at 0.125 s as (Table VII) Fig Open loop response v/s of the given boost converter to obtain BDC (BDC= for nominal system parameters) Fig Closed loop response v/s of the IFC scheme for Simulation No (Table VII) Fig Closed loop response v/s of the IFC scheme for Simulation No (Table VII) Fig Closed loop response v/s of the IFC scheme of Simulation No showing magnified plot of adaptive voltage regulation and parametric changes occurring at 0.125 s ( Table VII) Fig Closed loop response v/s of the IFC scheme of Simulation No showing magnified plot of adaptive voltage regulation and parametric changes occurring at 0.125 s (Table VII) 4. [...]

[...] In the present work we have considered direct fuzzy control architecture wherein fuzzy controller rule modification is based on the measured average output voltage as the performance index and self tuning adaptation BOOST CONVERTER CONSIDERED IN THE PRESENT WORK Boost converters transform a lower input DC voltage to a higher DC output voltage. Fig shows the circuit of boost converter used in the present work. Dynamics of the boost converter during one switching period can be represented by the equation Fig Architecture for Direct Fuzzy Control Indirect fuzzy controller which is usually called model based controller is characterized by the fact that a separate fuzzy model of the physical system is constructed and then a design procedure is used to calculate the control signal [16]. [...]