As servo control system is applied more and more widely in engineering, its response speed, tracking accuracy and adaptability to complex environment have higher requirements. In order to achieve these goals, this pap...
详细信息
ISBN:
(数字)9781728146539
ISBN:
(纸本)9781728146522
As servo control system is applied more and more widely in engineering, its response speed, tracking accuracy and adaptability to complex environment have higher requirements. In order to achieve these goals, this paper proposes an improved Chicken Swarm-Particle Swarm hybrid algorithm and applies it to the parameter tuning of fractionalorder YID, that is, to obtain the optimal parameters through global search, and then to complete the design of the optimal FOPID controller. Compared with the other three intelligent optimization algorithms, the simulation results show that the SCPSO optimized FOPID controller has better response performance, anti-interference ability and robustness.
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