Department of Mechanical & Industrial Engineering, Concordia University, 1515 St. Catherine West, Montreal, Quebec, H3G 1M8, Canada.
ISA Trans. 2012 May;51(3):386-92. doi: 10.1016/j.isatra.2012.02.003. Epub 2012 Mar 8.
In this paper, two sliding mode control algorithms are developed for nonlinear systems with both modeling uncertainties and actuator faults. The first algorithm is developed under an assumption that the uncertainty bounds are known. Different design parameters are utilized to deal with modeling uncertainties and actuator faults, respectively. The second algorithm is an adaptive version of the first one, which is developed to accommodate uncertainties and faults without utilizing exact bounds information. The stability of the overall control systems is proved by using a Lyapunov function. The effectiveness of the developed algorithms have been verified on a nonlinear longitudinal model of Boeing 747-100/200.
本文针对同时具有建模不确定性和执行器故障的非线性系统,开发了两种滑模控制算法。第一种算法是在不确定性界已知的假设下开发的。分别利用不同的设计参数来处理建模不确定性和执行器故障。第二种算法是第一种算法的自适应版本,它是为了在不利用精确界信息的情况下适应不确定性和故障而开发的。利用李雅普诺夫函数证明了整个控制系统的稳定性。在波音 747-100/200 的非线性纵向模型上验证了所开发算法的有效性。