Tracking control of a mobile robot using a genetically tuned mixed H/sub 2//H/sub /spl infin// adaptive technique

Adel Akbari Majd, M. Yazdanpanah, G.K. Khosrowshahi
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引用次数: 5

Abstract

There are two major methods for motion control of non-holonomic mobile robots when the knowledge about the model is not complete: adaptive control and robust control. The combination of two methods allows tuning of the robust controller and assures a satisfactory performance in practical situations. In this paper, a mixed H/sub 2//H/sub /spl infin// PID controller incorporated with an adaptive term is developed for tracking control of a mobile robot The controller's parameters are optimally tuned to minimize the energy of control signals via a genetic algorithm. The proposed control technique is numerically simulated on a mobile robot and the results are compared with two other methods: an adaptive method and a robust H/sub /spl infin// method. The simulation results show that the proposed technique results in the smallest control energy. Also, it may tolerate uncertainties up to 99% in comparison to the corresponding values of 85% and 94% for the previously proposed methods, respectively.
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基于遗传调谐混合H/sub //H/sub /spl自适应技术的移动机器人跟踪控制
在模型知识不完备的情况下,非完整移动机器人的运动控制主要有两种方法:自适应控制和鲁棒控制。两种方法的结合允许鲁棒控制器的调谐,并确保在实际情况下令人满意的性能。针对移动机器人的跟踪控制问题,提出了一种混合H/sub //H/sub /spl // PID控制器,该控制器采用遗传算法对控制器参数进行优化,使控制信号的能量最小。在移动机器人上对所提出的控制方法进行了数值仿真,并与自适应控制方法和鲁棒H/sub /spl infin//方法进行了比较。仿真结果表明,该方法具有最小的控制能量。此外,与之前提出的方法的相应值分别为85%和94%相比,它可以容忍高达99%的不确定性。
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