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Adaptive Integral Back-stepping Controller Design for ROV with Disturbance Observer

机译:具有扰动观测器的ROV自适应积分背踏步控制器设计

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The problem focusing on heading motion control of remotely operated underwater vehicle (ROV) is studied and adaptive integral back-stepping controller with nonlinear disturbance observer (NDO) is proposed in this paper. Taking advantage of the ability that nonlinear disturbance observer can estimate uncertainties and external disturbance exactly, combined back-stepping method, we can greatly reduce the influence of parameter uncertainties and external disturbances on the ROV system; meanwhile, in order to enhance the robust performance of the system, integral terms are added into the feedback loop; finally, adaptive item is added in order to estimate residual uncertainties and interference. Design process of the controller for ROV is described in detail; using Lyapunov stability criterion, global asymptotic stability and tracking error convergence are proved. Simulation experiments have shown that the controller can overcome and estimate factors such as external disturbance and model uncertainties, the system is able to track the desired trajectory accurately and has good robust performance.
机译:研究了专注于远程操作水下车辆(ROV)的运动控制的问题,并在本文中提出了具有非线性干扰观察者(NDO)的自适应积分背踏步控制器。利用非线性干扰观测器可以估计不确定性和外部干扰的能力,恰好的后台步进方法,我们可以大大减少参数不确定性和外部干扰对ROV系统的影响;同时,为了提高系统的稳健性能,将整体术语添加到反馈回路中;最后,添加了自适应项目以估计剩余的不确定性和干扰。详细描述了ROV控制器的设计过程;使用Lyapunov稳定性标准,证明了全局渐近稳定性和跟踪误差会聚。模拟实验表明,控制器可以克服和估计外部干扰和模型不确定性等因素,系统能够精确地跟踪所需的轨迹并具有良好的鲁棒性能。

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