This paper presented an original decentralized fault tolerant control approach for modular manipulators which based on adaptive dynamic programming (ADP) algorithm. First, the dynamic model of modular manipulators is established via joint torque feedback technique. Then, the fault tolerant controller is designed which composes of model-based compensation controller, observer-based fault tolerant controller and ADP-based optimal controller. According to ADP algorithm, the Hamiltonian-Jacobi-Bellman (HJB) equation can be tackled by critic neural network (NN). The closed-loop modular manipulators system is guaranteed asymptotic stable based on Lyapunov theory. Experiments are performed to verify the proposed method, and the results have guaranteed its effectiveness.
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This work is supported by the National Natural Science Foundation of China (Grant nos. 61773075, 62173047 and 61703055), the Scientific Technological Development Plan Project in Jilin Province of China (Grant no. 20200801056GH) and the Science and Technology project of Jilin Provincial Education Department of China during the 13th Five-Year Plan Period (Grant nos. JJKH20200672KJ, JJKH20200673KJ and JJKH20200674KJ).
Fan Zhou received her M.S. and Ph.D. degrees from Changchun University of Technology, China, in 2015 and 2018, respectively. She is currently a lecturer in Changchun University of Technology. Her research interests include intelligent mechanical, robot control, and robust control.
Fujie Nie received his B.S. and M.S. degrees from Changchun University of Technology, China, in 2018 and 2021, respectively. He is currently a embedded software engineer in GINLONG Science and Technology Shares Limited Company. His research interests include robot control, and dynamic programming.
Tianjiao An received his B.S. and M.S. degrees from the Changchun University of Technology, China, in 2017 and 2020, respectively, where he is currently pursuing a Ph.D. degree with the Department of Control Science and Engineering. His research interests include robot control and adaptive dynamic programming.
Bing Ma received her B.S. and Ph.D degrees from Changchun University of Technology, China, in 2016 and 2021, respectively. She is currently a lecturer in Changchun University of Technology. Her research interests include robot control, position-force control and adaptive dynamic programming.
Yuanchun Li received his M.S. and Ph.D. degrees from Harbin Institute of Technology, China, in 1987 and 1990, respectively. He is currently a Professor in Changchun University of Technology, China. His research interest covers complex system modeling, intelligent mechanical, and robot control.
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Zhou, F., Nie, F., An, T. et al. Decentralized Fault Tolerant Control of Modular Manipulators System Based on Adaptive Dynamic Programming. Int. J. Control Autom. Syst. 20, 3252–3263 (2022). https://doi.org/10.1007/s12555-021-0120-2
- Adaptive dynamic programming
- decentralized control
- fault tolerant control
- modular manipulators