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首页> 外文期刊>Journal of vibration and control: JVC >Position control of hydraulic servo system using proportional-integral-derivative controller tuned by some evolutionary techniques
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Position control of hydraulic servo system using proportional-integral-derivative controller tuned by some evolutionary techniques

机译：液压伺服系统位置控制的比例积分微分控制器的改进

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摘要

This paper uses a particle swarm optimization (PSO) algorithm, an adaptive weighted PSO (AWPSO) algorithm, and a genetic algorithm (GA) to determine the optimal proportional-integral-derivative controller's parameters of a hydraulic position control system. A typical hydraulic servo system has been selected as an application. The mathematical model of this hydraulic servo system which comprises the most relevant dynamics and nonlinear effects is considered. The model simulates the behavior of a REXROTH servo valve and includes the nonlinearities of friction forces, valve dynamics, oil compressibility, and load influence. The performance indices, which have been used in the optimization process, are integral absolute error, integral square error and integral time absolute error. The proposed controller is implemented on the simulation model to identify the best method for tuning the controller. Compared with GA and AWPSO results, the PSO method has been found to be more efficient and robust in improving the step response of a position control for hydraulic systems in terms of settling time, maximum overshoot and undershoot.
机译：本文采用粒子群算法（PSO），自适应加权粒子群算法（AWPSO）和遗传算法（GA）来确定液压位置控制系统的最优比例-积分-微分控制器参数。已选择典型的液压伺服系统作为应用程序。考虑该液压伺服系统的数学模型，该模型包含最相关的动力学和非线性影响。该模型模拟REXROTH伺服阀的行为，并包括摩擦力，阀动力学，油的可压缩性和负载影响的非线性。在优化过程中使用的性能指标是积分绝对误差，积分平方误差和积分时间绝对误差。拟议的控制器在仿真模型上实现，以确定用于调节控制器的最佳方法。与GA和AWPSO结果相比，已发现PSO方法在稳定时间，最大过冲和下冲方面，在改善液压系统位置控制的阶跃响应方面更有效，更可靠。

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