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A genetically tuned optimal PID controller
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Optimum PID controller tuning for AVR system using adaptive tabu search
ICCOMP'08 Proceedings of the 12th WSEAS international conference on Computers
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Optimal tuning of PID controller for AVR system using modified particle swarm optimization
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ACAI '11 Proceedings of the International Conference on Advances in Computing and Artificial Intelligence
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KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part IV
SEMCCO'12 Proceedings of the Third international conference on Swarm, Evolutionary, and Memetic Computing
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This paper presents a method to design an optimal disturbance rejection PID controller. First, a condition for disturbance rejection of a control system-H∞-norm-is described. Second, the design is formulated as a constrained optimization problem. It consists of minimizing a performance index, i.e., the integral of the time weighted squared error subject to the disturbance rejection constraint. A new method employing two genetic algorithms (GA) is developed for solving the constraint optimization problem. The method is tested by a design example of a PID controller for a servomotor system. Simulation results are presented to demonstrate the performance and validity of the method