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Adaptive Control System based on Linear 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,用于汽车样移动机器人路径问题

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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 fulfil control requirements, while at the same time it is flexible 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 flexibility of the proposed control structure have been demonstrated through realistic simulations that include both kinematics and dynamics of the car-like robot.
机译:本文的目的是按照对使用经典线性控制技术汽车状移动机器人控制系统设计的路径,使得它下面的任务的轨迹期间适应上线变化的条件。所提出的控制结构的主要优点是,公知的线性控制理论可以在计算PID控制器来满足控制要求被应用,而在同一时间,它是柔性的,要被施加非线性改变路径下列任务的条件。为了这个目的,机器人的Frenet标架的运动模型是在被作为实际速度的函数,所述路径曲率和所述机器人的运动学参数计算出的变工作点线性化,产生一个轨迹期间变化的传递函数。该控制器由自适应PID和前馈控制器,它与所述工作条件相应地变化,并且补偿该系统的非线性的组合形成。良好的功能和所提出的控制结构的灵活性已经通过逼真的模拟,其中包括两个运动学和轿车般的机器人的动态演示。

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