Adaptive Sliding Mode Controller Design for Fault Tolerant Flight Control System

Author(s):  
Chae-Ik Ahn ◽  
Youdan Kim ◽  
Hyounjin Kim
2012 ◽  
Vol 503-504 ◽  
pp. 1647-1650
Author(s):  
Sheng Qi Sun ◽  
Xue Bin Li

In this paper, an adaptive sliding model design method is proposed to deal with the asymptotic stabilization problem for a class of fault-tolerant control systems with sensor failures and state time-delays. The considered faults on sensors are assumed to be unknown but depended on the system states without breaching the practical case, while the effects of time delays are also related to the states. For the sake of eliminating the effects of sensor faults and delays, an adaptive sliding mode controller is developed by using the fault signals transmitted by sensors with adjusting some adaptive estimations. Then the asymptotic stability results are ensured by using the proposed static output feedback controller via Lyapunov stability theory. The proposed design technique is finally evaluated in the light of a simulation example.


2013 ◽  
Vol 816-817 ◽  
pp. 363-366
Author(s):  
Yu Feng Li ◽  
Kui Wu Li ◽  
Yu Tian Pan ◽  
Bao Quan Guo

A new fuzzy adaptive sliding mode controller based on fuzzy compensation for robot is proposed. The control architecture employs fuzzy systems to compensate adaptively for plant uncertainties to distinguish different disturbance compensation terms and approximate each of them respectively. By analyzing and comparing the simulation results, it is obviously shown that the control system can lighten the effect on the control system caused by different disturbance factors and eliminate the system chattering than that of traditional SMC.


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