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Designing and Optimization of Fuzzy Sliding Mode Controller for Nonlinear Systems

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

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

* Corresponding Author: Zhixin Sun. Email: .

Computers, Materials & Continua 2019, 61(1), 119-128.


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.


Cite This Article

Z. Sun, Y. Bi, S. Chen, B. Hu, F. Xiang et al., "Designing and optimization of fuzzy sliding mode controller for nonlinear systems," Computers, Materials & Continua, vol. 61, no.1, pp. 119–128, 2019.


This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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