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Fuzzy Control for Food Agricultural Robotics of a Degree

机译:粮食农业机器人的模糊控制

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摘要

In this study, we have a research of the fuzzy control for food agricultural robotics of a degree. Weeding robots can replace humans weeding activities, since the control system with nonlinear, robustness and a series of complex time-varying characteristics of the traditional PID control of the food agricultural robot end of the operation control effect cannot achieve the desired results, therefore, the design for the traditional use of classical PID control algorithm to control the food agricultural robot end of the operation of a series of drawbacks, combining cutting-edge control theory, fuzzy rule-based adaptive PID control strategy to control the entire system, so as to achieve the desired control effect. Experimental results show that the fuzzy adaptive PID control method for robot end postural control has better adaptability and track-ability.
机译:在这项研究中,我们对食品农业机器人的模糊控制进行了一定程度的研究。除草机器人可以代替人类除草活动,因为该控制系统具有非线性,鲁棒性和一系列复杂的时变特性,传统的PID控制对食品农业机器人的末端操作控制效果无法达到预期的效果,因此,针对传统设计中使用经典PID控制算法来控制食品农业机器人末端运行的一系列弊端,结合了先进的控制理论,基于模糊规则的自适应PID控制策略来控制整个系统,从而达到理想的控制效果。实验结果表明,模糊自适应PID控制方法在机器人末端姿态控制中具有较好的适应性和跟踪能力。

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