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Martínez-Marroquín, R., Castillo, O. and Soria, J. (2009) Particle Swarm Optimization Applied to the Design of Type-1 and Type-2 Fuzzy Controllers for an Autonomous Mobile Robot. In: Melin, P., Kacprzyk, J. and Pedrycz, W., Eds., Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition (Studies in Computational Intelligence 256), Springer, Berlin, 247-262.

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• TITLE: Adaptive Fuzzy Sliding Mode Controller for Grid Interface Ocean Wave Energy Conversion

  AUTHORS: Adel A. A. Elgammal

  KEYWORDS: Grid integration, Wave Energy Conversion Systems, Self-Excited Induction Generator (SEIG), Vector Control, Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Sliding Mode Control (SMC), Fuzzy Logic Control (FLC), Membership Function Tuning

  JOURNAL NAME: Journal of Intelligent Learning Systems and Applications, Vol.6 No.2, May 2, 2014

  ABSTRACT: This paper presents a closed-loop vector control structure based on adaptive Fuzzy Logic Sliding Mode Controller (FL-SMC) for a grid-connected Wave Energy Conversion System (WECS) driven Self-Excited Induction Generator (SEIG). The aim of the developed control method is to automatically tune and optimize the scaling factors and the membership functions of the Fuzzy Logic Controllers (FLC) using Multi-Objective Genetic Algorithms (MOGA) and Multi-Objective Particle Swarm Optimization (MOPSO). Two Pulse Width Modulated voltage source PWM converters with a carrier-based Sinusoidal PWM modulation for both Generator- and Grid-side converters have been connected back to back between the generator terminals and utility grid via common DC link. The indirect vector control scheme is implemented to maintain balance between generated power and power supplied to the grid and maintain the terminal voltage of the generator and the DC bus voltage constant for variable rotor speed and load. Simulation study has been carried out using the MATLAB/Simulink environment to verify the robustness of the power electronics converters and the effectiveness of proposed control method under steady state and transient conditions and also machine parameters mismatches. The proposed control scheme has improved the voltage regulation and the transient performance of the wave energy scheme over a wide range of operating conditions.