Design and implementation of finite time sliding mode controller for fuzzy overhead crane system

This paper considers the problem of fuzzy overhead crane system modelling and finite-time stability/boundedness via sliding mode control (SMC) method. Due to the strong coupling of control input, the fuzzy technique is utilized to linearize the overhead crane system and a fuzzy overhead crane model is established with appropriate membership functions. Considering the bad effect, including the swing of hook and plates, the external disturbances of the friction and air resistances, is inevitable during the transportation of copper electrode plates, the SMC method is adopted to stabilize the fuzzy system and robust to these interference signals. Furthermore, taking the time cost of actual industry into account, the finite-time stability/boundedness is introduced to achieve the state of system could be stable in a specified finite time. Moreover, the reaching law of sliding mode dynamics is analysed and the sufficient conditions for finite-time stability/boundedness of system state are formulated, respectively. Finally, the simulation results of the control strategy put forward in this article with the comparisons on some existing algorithms are provided to verify the effectiveness of the control strategy in the copper electrolytic overhead crane system.(c) 2019 ISA. Published by Elsevier Ltd. All rights reserved.

Automated summary

This paper addresses the problem of fuzzy overhead crane system modelling and finite-time stability/boundedness using sliding mode control method. The fuzzy technique is employed to linearize the system and a fuzzy model with appropriate membership functions is established. The sliding mode control method is utilized to stabilize the system and handle external disturbances. Finite-time stability/boundedness is introduced to achieve system stability within a specified finite time.