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Adaptive control system based on lineal control theory for the path-following problem of a car-like mobile robot

机译:基于线性控制理论的自适应控制系统,用于汽车类移动机器人的路径跟踪

摘要

The objective of this paper is to design a path following control system for a car-like mobile robot using classical linear control techniques, so that it adapts on-line to varying conditions during the trajectory following task. The main advantages of the proposed control structure is that well known linear control theory can be applied in calculating the PID controllers to full control requirements, while at the same time it is exible to be applied in non-linear changing conditions of the path following task. For this purpose the Frenet frame kinematic model of the robot is linearised at a varying working point that is calculated as a function of the actual velocity, the path curvature and kinematic parameters of the robot, yielding a transfer function that varies during the trajectory. The proposed controller is formed by a combination of an adaptive PID and a feed-forward controller, which varies accordingly with the working conditions and compensates the non-linearity of the system. The good features and exibility of the proposed control structure have been demonstrated through realistic simulations that include both kinematics and dynamics of the car-like robot.
机译:本文的目的是使用经典的线性控制技术设计一种用于汽车类移动机器人的路径跟踪控制系统,以使其在轨迹跟踪任务期间能够在线适应变化的条件。所提出的控制结构的主要优点是,可以将众所周知的线性控制理论应用于计算PID控制器来满足全部控制要求,同时可以将其应用于路径跟随任务的非线性变化条件中。为此,在变化的工作点上将机器人的Frenet框架运动学模型线性化,该工作点根据机器人的实际速度,路径曲率和运动学参数进行计算,从而得出在轨迹期间变化的传递函数。所提出的控制器是由自适应PID和前馈控制器的组合构成的,前者随工作条件的变化而变化,并补偿系统的非线性。拟议的控制结构的良好功能和可扩展性已通过包括汽车运动型机器人的运动学和动力学在内的逼真的仿真得到了证明。

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