scholarly journals Fault-tolerant Control of a Service Robot using a LPV Robust Unknown Input Observer

Author(s):  
Alberto San Miguel ◽  
Vicenc Puig ◽  
Guillem Alenya
IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 30750-30760
Author(s):  
Van Du Phan ◽  
Cong Phat Vo ◽  
Hoang Vu Dao ◽  
Kyoung Kwan Ahn

2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Farong Kou ◽  
Jianghao Wu ◽  
Jian Gao ◽  
Dapeng Wu ◽  
Ruochen Chen

In order to improve the ride comfort and handling stability of the vehicle and realize the recovery of vibration energy, an electromagnetic linear hybrid suspension actuator composed of linear motor and solenoid valve shock absorber is proposed. At the same time, a fault diagnosis and fault-tolerant control strategy is designed to solve the system instability caused by the fault of electromagnetic hybrid active suspension. The 1/4 vehicle two-degree-of freedom suspension model, the linear motor mathematical model, and the solenoid valve shock absorber test model are established. In this paper, the fuzzy sliding mode controller is used as the controller and the unknown input observer is used to estimate the state of the suspension. According to the residual obtained from the unknown input observer and compared with the residual threshold, the suspension fault is determined. In the case of fault, the fuzzy sliding mode controller is used to compensate the force and realize the suspension fault-tolerant control. The performance of the suspension is simulated on random road and bumped road, respectively. The simulation results show that the fault-tolerant control effect of the three performance indexes of the suspension is good, and the ride comfort and safety of the suspension are improved. Finally, the bench test is carried out, and the test results show that in the fault-tolerant control state, the root mean square value of the sprung mass acceleration is reduced by 31.69% compared with the fault state and the dynamic performance of the suspension is improved.


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