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Adaptive integral back-stepping controller design for ROV with disturbance observer

机译:具有干扰观测器的ROV自适应积分反步控制器设计

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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:研究了遥控水下航行器(ROV)的航向控制问题,并提出了带有非线性扰动观测器(NDO)的自适应积分反步控制器。利用非线性扰动观测器能够准确估计不确定性和外部扰动的能力,结合后推法,可以大大减少参数不确定性和外部扰动对ROV系统的影响。同时,为了增强系统的鲁棒性,在反馈回路中增加了积分项。最后,添加自适应项以估计残留的不确定性和干扰。详细介绍了ROV控制器的设计过程。利用Lyapunov稳定性准则,证明了全局渐近稳定性和跟踪误差的收敛性。仿真实验表明,该控制器可以克服和估计外界干扰和模型不确定性等因素,该系统能够准确地跟踪所需的轨迹,并具有良好的鲁棒性能。

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