Adaptive Fault-Tolerant Control Considering the Actuator Failure of Forklift Anti-Rollover System

An adaptive fault-tolerant anti-rollover fuzzy system is proposed to improve the anti-rollover performance of counterbalanced forklifts. Considering the actual control input, various unpredictable actuator failure models in the system are established. Based on the three degree-of-freedom (DOF) model...

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Bibliographic Details
Published inInternational journal of automotive technology Vol. 24; no. 3; pp. 705 - 718
Main Authors Xia, Guang, Li, Tao, Tang, Xiwen, Zhang, Yang, Zhao, Linfeng
Format Journal Article
LanguageEnglish
Published Seoul The Korean Society of Automotive Engineers 01.06.2023
Springer Nature B.V
한국자동차공학회
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Summary:An adaptive fault-tolerant anti-rollover fuzzy system is proposed to improve the anti-rollover performance of counterbalanced forklifts. Considering the actual control input, various unpredictable actuator failure models in the system are established. Based on the three degree-of-freedom (DOF) model of a counterbalanced forklift, an anti-rollover Takagi-Sugeno (T-S) fuzzy system is established. The stability of this anti-rollover system is analyzed to ensure its stability under specific control inputs and external disturbances. When the upper limits of actuator faults and disturbances are unknown, an adaptive fault-tolerant control method is designed to update the controller parameters. The sufficient conditions for the stability of the forklift anti-rollover system in the presence of actuator faults and external disturbances are given using the Lyapunov stability theory. Simulation and real vehicle tests based on MATLAB/Simulink show that the anti-rollover system with adaptive fault-tolerant control can reduce impacts effectively and quickly after the actuator fails, thereby improving the safety and reliability of the forklift.
ISSN:1229-9138
1976-3832
DOI:10.1007/s12239-023-0059-9