基于加权积分PDC和T-S模糊扰动观测器的移动机器人鲁棒轨迹跟踪控制

Du-San Baek, Tae-sung Yoon
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引用次数: 1

摘要

本文提出了一种基于加权积分并行分布补偿和T-S模糊扰动观测器的移动机器人鲁棒、精度更高的轨迹跟踪控制方法。WIPDC通过在PDC中加入加权积分项来减小稳态误差。T-S模糊干扰观测器使T-S模糊模型系统的干扰估计和消除成为可能。结果表明,基于T-S模糊扰动观测器的轨迹跟踪控制器具有鲁棒的跟踪性能。当移动机器人的初始姿态与参考轨迹不同时,移动机器人的初始控制输入会变得过大而无法实际应用。在本研究中,采用带加速度限制的bsamizier曲线的路径规划方法设计初始逼近路径,从而解决了该问题。仿真结果证明了该方法的有效性。
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Robust Trajectory Tracking Control of a Mobile Robot Based on Weighted Integral PDC and T-S Fuzzy Disturbance Observer
In this paper, a robust and more accurate trajectory tracking control method for a mobile robot is proposed using WIPDC(Weighted Integral Parallel Distributed Compensation) and T-S Fuzzy disturbance observer. WIPDC reduces the steady state error by adding weighted integral term to PDC. And, T-S Fuzzy disturbance observer makes it possible to estimate and cancel disturbances for a T-S fuzzy model system. As a result, the trajectory tracking controller based on T-S Fuzzy disturbance observer shows robust tracking performance. When the initial postures of a mobile robot and the reference trajectory are different, the initial control inputs to the mobile robot become too large to apply them practically. In this study, also, the problem is solved by designing an initial approach path using a path planning method which employs Bézier curve with acceleration limits. Performances of the proposed method are proved from the simulation results.
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