Fault detection and isolation of actuator failures in jet engines using adaptive dynamic programming

2022 ◽  
Vol 414 ◽  
pp. 126664
Author(s):  
Haobo Kang ◽  
Hongjun Ma
Author(s):  
Hongbing Xia ◽  
Ping Guo

AbstractIn this paper, a sliding mode (SM)-based online fault compensation control scheme is investigated for modular reconfigurable robots (MRRs) with actuator failures via adaptive dynamic programming. It consists of a SM-based iterative controller, an adaptive robust term and an online fault compensator. For fault-free MRR systems, the SM surface-based Hamilton–Jacobi–Bellman equation is solved by online policy iteration algorithm. The adaptive robust term is added to guarantee the reachable condition of SM surface. For faulty MRR systems, the actuator failure is compensated online to avoid the fault detection and isolation mechanism. The closed-loop MRR system is guaranteed to be asymptotically stable under the developed fault compensation control scheme. Simulation results verify the effectiveness of the present fault compensation control approach.


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