SMO'07 Proceedings of the 7th WSEAS International Conference on Simulation, Modelling and Optimization
Design of optimal disturbance rejection PID controllers usinggenetic algorithms
IEEE Transactions on Evolutionary Computation
Tuning of a neuro-fuzzy controller by genetic algorithm
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Response surface method application in gasifier system identification for biomass power plants
WSEAS TRANSACTIONS on SYSTEMS
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In this paper contend with the determination of offline, optimal proportional-integral-derivative (PID) controller parameters of an automatic voltage regulator (AVR) system using Adaptive Tabu Search (ATS) algorithm is presented. Parameter of this PID controller is obtained by minimizing the performance index such as integrated absolute error (IAE), the integral of squared error (ISE), and the integral time absolute error (ITAE) employed ATS method. For results, the classical tuning proposed by Ziegler and Nichols is using compared with the propose method. By choosing the appropriated performance index, the performance of the proposed tuning mechanism has been demonstrated and analyzed in efficient and robust in improving the step response of an AVR system with application to control of synchronous generator excitation system.