Montree Cheunpirom
ABSTRACT
The fractional-order proportional-integral-derivative-accelerated (PIλDμAν) controller (or FOPIDA) is the generalization of the PID controller family. It consists of seven parameters, i.e. the proportional gain Kp, the integral gain Ki, the derivative gain Kd, the accelerated gain Ka, the integral order λ, the derivative order μ and the accelerated order ν. All orders are real rather than an integer. This makes the PIλDμAν controller more flexible in design for a wide range of dynamic systems. This paper presents the optimal tuning of the fractional-order PIλDμAν controller via the cuckoo search (CS), one of the most efficient metaheuristic optimization techniques, for two real-world motor position control systems based on the modern optimization context to perform its effectiveness. Simulation results show that the proposed fractional-order PIλDμAν controller optimized by the CS can provide very satisfactory responses with faster and smoother than the PIλDμA and conventional integer-order PIDA (or IOPIDA) controllers.
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Index Terms
- Optimal Tuning of Fractional-Order PIλDμAν Controller by Cuckoo Search Algorithm
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