scholarly journals Fault Tolerant LPV Control of the GTM UAV with Dynamic Control Allocation

Author(s):  
Balint Vanek ◽  
Tamas Peni ◽  
Zoltan Szabo ◽  
Jozsef Bokor
2017 ◽  
Vol 121 (1237) ◽  
pp. 341-371 ◽  
Author(s):  
S. H. Almutairi ◽  
N. Aouf

ABSTRACTIn this paper, the development of a fault-tolerant control system for an aircraft that exploits both the hardware and analytical redundancy in the system is considered. A control allocation approach is developed where the total control command is computed and distributed among the available control surfaces. The actuator’s position and rate limits are taken into account in the optimisation problem. Existing fault-tolerant control allocation techniques produce look-up tables of control gains based on certain faults in the model. In contrast, the developed reconfigurable approach presented here incorporates a new process that redistributes control efforts which is updated whenever a fault occurs. In order to correlate between control effort redistribution and the fault magnitude, a fuzzy logic scheme is implemented, which handles a wide range of fault magnitudes on-line. The approach is applied for the most severe type of fault, which is the “lock-in-place” (jam) fault. Results show that the developed approach successfully handles the faulty situations and enhances aircraft flying responses by utilising the available healthy controls.


Author(s):  
Ozan Temiz ◽  
Melih Cakmakci ◽  
Yildiray Yildiz

This paper presents an integrated fault-tolerant adaptive control allocation strategy for four wheel frive - four wheel steering ground vehicles to increase yaw stability. Conventionally, control of brakes, motors and steering angles are handled separately. In this study, these actuators are controlled simultaneously using an adaptive control allocation strategy. The overall structure consists of two steps: At the first level, virtual control input consisting of the desired traction force, the desired moment correction and the required lateral force correction to maintain driver’s intention are calculated based on the driver’s steering and throttle input and vehicle’s side slip angle. Then, the allocation module determines the traction forces at each wheel, front steering angle correction and rear steering wheel angle, based on the virtual control input. Proposed strategy is validated using a non-linear three degree of freedom reduced two-track vehicle model and results demonstrate that the vehicle can successfully follow the reference motion while protecting yaw stability, even in the cases of device failure and changed road conditions.


2007 ◽  
Vol 30 (1) ◽  
pp. 100-113 ◽  
Author(s):  
Yu Luo ◽  
Andrea Serrani ◽  
Stephen Yurkovich ◽  
Michael W. Oppenheimer ◽  
David B. Doman

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