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Nonlinear order-reduced adaptive controller for a DC motor driven electric cart

机译:直流电动机驱动电动推车的非线性降阶自适应控制器

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The precise control of a voltage-controlled, DC motor driven electric cart would be a 3rd order task since Classical Mechanics relates the acceleration of the cart to driving torques, while these torques are proportional to the current that cannot be modified abruptly. Abrupt jumps in the control voltage cause abrupt change only in the time-derivative of the motor current. Therefore a 2nd order controller can only approximate the operation of a 3rd order one. Modeling imprecisions further complicate the control task. Furthermore, if the cart has two independently driven main wheels and a supporting caster, no exact trajectory tracking can be prescribed simultaneously for the location of the cart in the (x, y) plane and its rotational orientation (θ) since for three prescribed quantities only two control signals are available. For the tracking error of these components, some kinematically formulated compromise must be applied. The aim of the present paper is to show that the simultaneous problems caused by the order reduction, the modeling errors and the necessary kinematic compromises can be elegantly solved by the adaptive controllers designed on the basis of Robust Fixed Point Transformations (RFPT). This statement is substantiated by simulation results.
机译:由于古典力学将推车的加速度与驱动扭矩相关联,而精确控制电压控制的直流电动机驱动的电动推车将是一项三阶任务,而这些扭矩与无法突然改变的电流成比例。控制电压的突然跳变仅在电动机电流的时间导数上引起突变。因此,二阶控制器只能近似于三阶控制器的操作。建模不精确性进一步使控制任务复杂化。此外,如果推车具有两个独立驱动的主轮和一个支撑脚轮,则不能同时为推车在(x,y)平面上的位置及其旋转方向(θ)规定精确的轨迹跟踪,因为对于三个规定的数量只有两个控制信号可用。对于这些组件的跟踪误差,必须采用一些运动学上折衷的折衷方法。本文的目的是表明,通过基于鲁棒不动点变换(RFPT)设计的自适应控制器,可以很好地解决由降阶,建模误差和必要的运动折衷引起的同时出现的问题。仿真结果证实了这一说法。

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