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Proportional-Integral-Derivative Controller Design Using an Advanced Levy-Flight Salp Swarm Algorithm for Hydraulic Systems

机译:比例整体衍生控制器设计,使用先进的levy-flight-flifal salp液压系统算法

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To improve the control ability of proportional-integral-derivative (PID) controllers and increase the stability of force actuator systems, this paper introduces a PID controller based on the self-growing levy-flight salp swarm algorithm (SG-LSSA) in the force actuator system. First, the force actuator system model was built, and the transfer function model was obtained by the identification of system parameters identifying. Second, the SG-LSSA was proposed and used to test ten benchmark functions. Then, SG-LSSA-PID, whose parameters were tuned by SG-LSSA, was applied to the electro-hydraulic force actuator system to suppress interference signals. Finally, the temporal response characteristic and the frequency response characteristic were studied and compared with different algorithms. Ten benchmark function experiments indicate that SG-LSSA has a superior convergence speed and perfect optimization capability. The system performance results demonstrate that the electro-hydraulic force actuator system utilized the SG-LSSA-PID controller has a remarkable capability to maintain the stability and robustness under unknown interference signals.
机译:为了提高比例积分(PID)控制器的控制能力并提高力执行器系统的稳定性,本文介绍了一种基于力量的自我生长征用SALP群算法(SG-LSSA)的PID控制器执行器系统。首先,构建了力执行器系统模型,通过识别识别系统参数来获得传递函数模型。其次,提出了SG-LSSA并用于测试十个基准函数。然后,SG-LSSA-PID,其参数由SG-LSSA调节,应用于电液力致动器系统以抑制干扰信号。最后,研究了时间响应特性和频率响应特性,并与不同的算法进行比较。十个基准函数实验表明,SG-LSSA具有卓越的收敛速度和完善的优化能力。系统性能结果表明,使用SG-LSSA-PID控制器的电液力致动器系统具有显着的能力,可以在未知的干扰信号下维持稳定性和鲁棒性。

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