摘要
为解决在外部扰动下轮式移动机器人轨迹跟踪易出现速度跳变的问题,提出一种基于扰动补偿的模糊自适应反演控制方法。该方法采用模糊系统对系统模型不确定性和外部干扰组成的复合扰动进行估计,同时引入滑模鲁棒控制项来抑制扰动估计误差对系统控制性能的影响,并应用反演设计法推导出相应的控制律和模糊系统参数自适应律,稳定性分析证明了所得闭环系统是全局一致渐近稳定的。仿真结果表明在较大外部扰动下该控制器能够使系统保持快速瞬态响应,且能够有效克服滑模抖动,并消除速度跳变问题。
In order to eliminate the velocity jump in the wheeled mobile robot trajectory tracking under external disturbances, a fuzzy adaptive backstepping control method with disturbance compensation is proposed. The disturbances caused by the system model uncertainty and external disturbances are estimated by a fuzzy system and the effect of disturbance estimation error on the controlled system is restrained by introducing the sliding-mode control. The corresponding control law and parameter adaptive law for the fuzzy system are given through the backstepping method. The stability analysis has proved that the closed-loop system is globally uniformly asymptotically stable. The simulation results show that the controlled system under external disturbances can achieve a fast transient response, overcome the sliding mode chattering and eliminate the velocity jump.
引文
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