Abstract

In this paper, an adaptive fuzzy synergetic controller (AFSC) for a DC-DC converter is introduced. Two robust control techniques, synergetic control combined with fuzzy logic control, are utilized to produce a reliable DC-DC power supply. This is-realized by an indirect adaptive control of a DC-DC buck converter. To further enhance robustness, a nonlinear constraint, the equivalent of the sliding surface, is used to guarantee performance and stability for any operating condition. To ensure overall strength, closed-loop signals are bounded and the stability is guaranteed using the Lyapunov theory. Control parameters are optimized using a PSO algorithm to further enhance performances. The proposed controller (AFSC) is designed through a dSpace based experimental setup to provide robust DC-DC buck converter voltage control.

Highlights

  • Reliable power supply is indispensable in any energetic system and computing unit

  • The adaptive fuzzy synergetic control applied to a buck DC-DC converter is developed

  • SIMULATION RESULTS Simulation results are given for a DC-DC converter with given parameters: Vin=30V, L=50mH, C=470μF, R=25Ω and vref=12V

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Summary

INTRODUCTION

Reliable power supply is indispensable in any energetic system and computing unit. DC-DC converters represent a dependable power source used in many computer-based industrial plants as well as in renewable energy systems control [1,2,3]. Synergetic control, providing a robust and continuous control law, has emerged recently [14,15,16] as a promising technique It relies on the same principles with sliding mode control and provides similar robustness but without discontinuous components in its control signal, eliminating chattering. The principal contribution of this paper consists in combining fuzzy inference systems and synergetic control to provide a reliable and robust DC-DC converter voltage control despite operating point excursions and parameter uncertainties. The adaptive scheme ensures robustness despite system parameter fluctuations while synergetic approach permits imposing system designer chosen dynamics without incurring devastating chattering inherent to sliding mode methodology. Results are given for DC-DC converter control for different operating conditions showing remarkable performance

MODEL OF THE DC-DC CONVERTER
STABILITY AND ROBUSTNESS ANALYSIS
PARTICLE SWARM OPTIMIZATION
SIMULATION RESULTS
CONCLUSION
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