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- W2112186755 abstract "1) genetic algorithm(7) and the fuzzy clustering technique(4), for the improvement and optimization of systems. This method is applied to FPID controller of the drive system of induction motor. The proposed GFPID controller with the auto-tuning function executes the speed control of the system. Authors divide the region of errors that have influence on the system parameters, into several error levels and then make each level the optimized look-up table using the genetic algorithm. This makes on-line and real-time control of the drive system possible. Computer simulations would show that the proposed controller has high performance better than conventional FPID and PID controllers. Abstract: This paper proposes a novel method with pseudo-on-line scheme using the optimized look-up table based on the genetic algorithm which does not use the gradient and finds the global optimum of an un-constraint optimization problem. The technique is a pseudo-on-line method that optimally estimates the parameters of fuzzy PID(FPID) controller for systems with non-linearity, using the genetic algorithm. The proposed controller(GFPID) with the auto-tuning function is applied to the on-line and real-time control of speed at 3-phase induction motor, and its computer simulation is carried out. Simulation results show that the proposed method is more excellent than conventional FPID and PID controllers." @default.
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- W2112186755 date "2000-06-01" @default.
- W2112186755 modified "2023-09-26" @default.
- W2112186755 title "Drive of Induction Motors Using a Pseudo-On-LineFuzzy-PID Controller Based on Genetic Algorithm" @default.
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