摘要
针对一类具有执行器卡死或/和变执行器故障的多输入单输出(MISO)非线性最小相位系统,提出一种自适应容错跟踪控制方案.采用自适应算法估计系统的不确定性,利用神经网络逼近执行器未知故障函数,以完成执行器组合故障状态下的跟踪控制.所设计的控制律不仅保证了闭环系统稳定,而且所有状态均有界,跟踪误差一致最终有界.仿真结果表明了所提出方法的有效性.
An adaptive fault tolerant tracking control scheme is proposed for a class of multi-input single-output （MISO） minimum phase systems with actuators lock-in-space or/and variant actuator failures. Adaptive algorithm is used to estimate system uncertainties,and neural network is used to approximate actuators unknown variant failures. Then,tracking control problem is solved for the system with actuators combinatorial failures. The control law proposed can guarantee that the closed-loop systems are stable,all the states are bounded,and the tracking errors are uniformly ultimately bounded. Simulation results show the effectiveness of the proposed method.
出处
《控制与决策》
EI
CSCD
北大核心
2010年第7期1084-1087,共4页
Control and Decision
基金
国家自然科学基金重点项目(60234010)
航空科学基金项目(05E52031)
