Open Access

ARTICLE

Designing and Optimization of Fuzzy Sliding Mode Controller for Nonlinear Systems

by Zhe Sun¹, Yunrui Bi², Songle Chen¹, Bing Hu¹, Feng Xiang³, Yawen Ling¹, Zhixin Sun

1 Nanjing University of Posts and Telecommunications, Nanjing, 210003, China.
2 Nanjing Institute of Technology, Nanjing, 211167, China
3 YuanTong Express Co. LTD., Shanghai, 201705, China.

* Corresponding Author: Zhixin Sun. Email: .

Computers, Materials & Continua 2019, 61(1), 119-128. https://doi.org/10.32604/cmc.2019.05274

Abstract

For enhancing the control effectiveness, we firstly design a fuzzy logic based sliding mode controller (FSMC) for nonlinear crane systems. On basis of overhead crane dynamic characteristic, the sliding mode function with regard to trolley position and payload angle. Additionally, in order to eliminate the chattering problem of sliding mode control, the fuzzy logic theory is adopted to soften the control performance. Moreover, aiming at the FSMC parameter setting problem, a DE algorithm based optimization scheme is proposed for enhancing the control performance. Finally, by implementing the computer simulation, the DE based FSMC can effectively tackle the overhead crane sway problem and avoid unexpected accident greatly.

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Citations