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Position Control of Electro-hydraulic Actuator System Using Fuzzy Logic Controller Optimized by Particle Swarm Optimization

机译:粒子群算法优化的模糊控制器在电液执行器位置控制中的应用

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The position control system of an electro-hydraulic actuator system (EHAS) is investigated in this paper. The EHAS is developed by taking into consideration the nonlinearities of the system: the friction and the internal leakage. A variable load that simulates a realistic load in robotic excavator is taken as the trajectory reference. A method of control strategy that is implemented by employing a fuzzy logic controller (FLC) whose parameters are optimized using particle swarm optimization (PSO) is proposed. The scaling factors of the fuzzy inference system are tuned to obtain the optimal values which yield the best system performance. The simulation results show that the FLC is able to track the trajectory reference accurately for a range of values of orifice opening. Beyond that range, the orifice opening may introduce chattering, which the FLC alone is not sufficient to overcome. The PSO optimized FLC can reduce the chattering significantly. This result justifies the implementation of the proposed method in position control of EHAS.
机译:本文研究了电动液压执行器系统(EHAS)的位置控制系统。 EHAS的开发考虑了系统的非线性:摩擦和内部泄漏。模拟机器人挖掘机中的实际负载的可变负载被用作轨迹参考。提出了一种采用模糊逻辑控制器(FLC)实现控制策略的方法,该控制器的参数采用粒子群算法(PSO)进行了优化。调整模糊推理系统的比例因子以获得获得最佳系统性能的最佳值。仿真结果表明,FLC能够精确地跟踪孔口开度值范围内的轨迹参考。超出该范围,孔口可能会产生颤动,仅靠FLC不足以克服这种颤动。经过PSO优化的FLC可以大大减少抖动。该结果证明了所提出的方法在EHAS的位置控制中的实现。

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