Optimized Reconfigurable Modular Flight Control Design using Swarm Intelligence
This paper presents an optimized reconfigurable control design methodology by separating control commands distribution task from flight controller for different types of fault handling.The proposed strategy improves the flight control performance in normal and fault situations.The particle swarm optimization (PSO) based multiinput multi-output (MIMO) linear quadratic regulator (LQR) is used to produce virtual command signals.A modified weighted pseudoinverse (WPI) based cascaded re-allocation technique is employed for effective implementation of commands to redundant control surfaces in a realistic nonlinear aircraft benchmark model.Control surface fault modelling is performed for the evaluation of optimized reconfiguration based modular flight control strategy.Simulation results show that acceptable fault tolerant control (FTC) performance can be achieved by using swarm intelligence based optimization technique for modular control design.
particle swarm optimization linear quadratic regulator weighted pseudo-inverse control allocation non-linear aircraft benchmark model
Arsalan H. Khan Zhang Weiguo Shi Jingping Zeashan H. Khan
School of automation,Northwestern polytechnical university,Xian 710072,PR China Comwave institute of Science and Technology,Islamabad 44000,Pakistan
国际会议
International Conference on Advances in Engineering 2011(2011年工程研究进展国际学术会议 ICAE2011)
南京
英文
621-628
2011-12-17（万方平台首次上网日期，不代表论文的发表时间）