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JPE, Vol. 18, No. 1, January 2018
Sliding Mode Control for Servo Motors Based on the Differential Evolution Algorithm
Zhonggang Yin, Lei Gong, Chao Du, Jing Liu, and Yanru Zhong
Area Adjustable Speed Drives
Abstract A sliding mode control (SMC) for servo motors based on the differential evolution (DE) algorithm, called DE-SMC, is proposed in this study. The parameters of SMC should be designed exactly to improve the robustness, realize the precision positioning, and reduce the steady-state speed error of the servo drive. The main parameters of SMC are optimized using the DE algorithm according to the speed feedback information of the servo motor. The most significant influence factor of the DE algorithm is optimization iteration. A suitable iteration can be achieved by the tested optimization process profile of the main parameters of SMC. Once the parameters of SMC are optimized under a convergent iteration, the system realizes the given performance indices within the shortest time. The experiment indicates that the robustness of the system is improved, and the dynamic and steady performance achieves the given performance indices under a convergent iteration when motor parameters mismatch and load disturbance is added. Moreover, the suitable iteration effectively mitigates the low-speed crawling phenomenon in the system. The correctness and effectiveness of DE-SMC are verified through the experiment.
Keyword Differential evolution (DE) algorithm,Iteration,Parameter optimization,Robustness,Sliding mode control (SMC)
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