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Simulation Research on Fuzzy PID Control Based on Grey Forecast for Foot-end Trajectory Tracking of Walking Robot

机译:基于灰色预测的步行机器人脚部轨迹跟踪的模糊PID控制仿真研究

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摘要

The paper presents a fuzzy PID control algorithm based on grey forecast used to study foot-end's trajectory tracking of walking robot. Taking single-led mechanism of six-legged walking robot as study object, using multi-body dynamics modeling software (ADAMS) to establish single-leg virtual prototype model in accordance with the actual geometric parameters and kinematics parameters. The virtual prototype model directly generates dynamic equation as the simulation model of controlled object. We adopt the present method, i.e. fuzzy PID, to control algorithm based on grey forecast. simulating on foot-end trajectory tracking of walking robot. Simulation results show that the proposed control method has better feasibility and control accuracy.
机译:提出了一种基于灰色预测的模糊PID控制算法,用于研究步行机器人的脚部轨迹跟踪。以六足步行机器人的单头机构为研究对象,利用多体动力学建模软件(ADAMS)根据实际几何参数和运动学参数建立单腿虚拟样机模型。虚拟原型模型直接生成动态方程作为受控对象的仿真模型。我们采用目前的方法,即模糊PID,来控制基于灰色预测的算法。仿真步行机器人的脚部轨迹。仿真结果表明,该控制方法具有较好的可行性和控制精度。

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