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This paper presents the use of fuzzy logic control (FLC) of a variable speed induction machine wind generation system. The generation system uses three fuzzy logic controllers (FLC's), first fuzzy logic controller tracks the generator speed with wind velocity to extract maximum power. Second fuzzy logic controller programs the machine flux for light load efficiency improvement. Third fuzzy logic controller...
This paper presents the stability analysis of a class of nonlinear time-varying delay systems with parameter uncertainty, through extended Takagi-Sugeno fuzzy modeling. The delay-dependent stability and robust stability criterions are presented using delay decomposition approach, in terms of linear matrix inequalities (LMIs). The time-varying delay is assumed to be bounded and continuous need not...
Tuning of a pH process is a challenging problem due to the strong on-line non-linearity and extreme sensitivity to disturbances of the process. Hence, a nonlinear control strategy based on sliding mode, which is a standard approach to tackle the parametric and modeling uncertainties of a nonlinear system, is chosen for tuning a pH process. Fuzzy Sliding Mode Control (FSMC) as a robust and intelligent...
This paper presents a modified particle swarm optimization (MPSO) algorithm to design an optimal multi input multi out (MIMO) fuzzy logic controller for a cement mill process. The membership function, rule base and the scaling factor of the multi input multi output FLC is tuned for optimal control performance using MPSO by minimizing the Integral absolute error for minimum and maximum operating setpoints...
This paper develops a ANFIS controller design method for temperature control in plastic extrusion system. The plastic extrusion process control system uses first order transfer function. Plastic extrusion system is generally nonlinear and the temperature of the plastic extrusion system may vary over a wide range subjected to various disturbances. The plastic extrusion system compresses of couple effects,...
This paper presents a comparative study of the PSO-technique and the Fuzzy based controller for the improvement of transient stability of Static Synchronous Series Compensator (SSSC). New and efficient configuration of adaptive SSSC controller based on the Fuzzy control is presented. Further, the performance of the Fuzzy based controller is compared with the PSO-technique results. Simulation results...
In this paper, Adaptive Neuro-Fuzzy Inference System (ANFIS) method based on the Artificial Neural Network (ANN) is applied to design a Thyristor Controlled Series Compensator (TCSC)-based controller to enhance the power system stability. The design objective is to improve both rotor angle stability and system voltage profile. The proposed ANFIS controller combines the advantages of fuzzy controller...
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