首页> 中文期刊> 《组合机床与自动化加工技术》 >基于改进迭代学习的并联6-DOF运动平台控制策略研究

基于改进迭代学习的并联6-DOF运动平台控制策略研究

     

摘要

为了改善并联6-DOF运动平台的轨迹跟踪效果提出了一种新颖的控制算法.该控制方法结合了非奇异Terminal滑模控制(NTMSMC)和迭代学习控制(ILC),非奇异Terminal滑模控制器可以在有限的时间到达和消除控制器奇异,将其作为第一控制器采处理模型参数不确定性、未知的非线性和外部干扰;在到达滑模面之后,用PD型迭代学习控制器作为第二控制器来消除周期性轨迹跟踪误差.Simulink仿真结果表明,这种组合控制器与其它控制器(如PID控制、滑模控制、迭代学习控制)相比有更高的轨迹跟踪精度和较强的鲁棒性.%A novel controller is proposed to improve the trajectory tracking performance of 6-DOF motion platform of flight simulator The proposed control scheme combines non-singularity terminal sliding mode control scheme(NTSMC) with iterative learning control(ILC). Specifically, the NTSMC which can arrive in finite time and prevent controller from singular is used as the primary controller to handle the effect of parametric uncertainties, unknown nonlinearities and external disturbances. A PD type iterative learning controller is employed as the secondary controller to eliminate the periodic tracking errors. Simu-link simulation results illustrate that the proposed combined controller can achieve better tracking performance and robustness compared with other control algorithms such as PID control, sliding mode control, and the iterative learning control.

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