一类非线性网络控制系统的控制器设计

针对一类非线性网络控制系统,提出了一种新型自适应模糊滑模预测控制方法,采用带有时间超前非线性状态预估器的新型的滑模控制(SMC)方案,补偿网络诱导时延,而后利用模糊自适应系统来逼近非线性环节,并基于Lyapunov稳定性理论设计自适应律,保证系统的稳定性. 以网络环境下空间飞行器的姿态控制为例进行仿真,结果表明,所提出的方法不仅实现了高精度的姿态稳定控制,且系统对不确定参数、网络诱导延时及外界干扰带来的影响具有很好的鲁棒性.

Controller Design for a Class of Nonlinear Networked Control Systems

For a class of nonlinear networked control systems, a novel type of adaptive fuzzy sliding mode control (SMC) method for solving the dynamic model with network-induced delays, nonlinear and uncertain parameters is proposed in this paper. A systematic sliding mode control scheme, which integrates a time-advanced non-linear predictor, is proposed to compensate for the network-induced delay. Then, an adaptive fuzzy system is used to approximate nonlinear dynamics model. Following that, the designed adaptive algorithms are developed based on the Lyapunov stability theorem, so that system-tracking stability can be guaranteed. Finally, an example of flexible spacecraft attitude control is applied to show the validity of the controller, and the simulation results show that, with the application of the proposed method, high-precision attitude stabilization of spacecraft is achieved, and the system is robust against system uncertainties, network-induced delays and any outer disturbances.