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An Effective Technique for Tuning the Time Delay System with PID Controller-Ant Lion Optimizer Algorithm with ANN Technique

机译:PID控制器优化时滞系统的有效技术-蚁群算法的蚁群算法

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摘要

The PID controller is the most common controller in industrial applications today, and it is likely to be the most important controller. In the paper, proposed an ALOalgorithm and ANN controller is utilized for enhancing the performance of PID controller and control the tuning of time delay system. Based on the controllingparameters, the time delay system is controlled and low overshoot and fast settling time is achieved for different delay instants. The novelty of the proposedtechnique is improving the performance of PID controller by optimizing the PID gain parameters and controlling the higher order time delay system. The time delaysystem performance can be improved by minimizing error, tracking, time delay & error, fast and accurately to their respective reference values. With the optimalvalues for control parameter of time delay system, its performance can be significantly improved. In order to analyze the characteristics of the proposed method, thevarious time delay systems are analyzed. From the tuning system, the inputs and gain parameters are initialized to determine the objective function. Based on theproposed method, the optimal results is achieved and evaluated the rise time, overshoot, settling time and steady state error in time delay system. The proposedcontroller is implemented in the MATLAB/Simulink platform and the effectiveness of the proposed technique is analyzed through the performance indexes and thetime domain specifications are evaluated using proposed technique and compared with the existing methods such as Artificial Bee colony Algorithm (ABC),Gravitational Search Algorithm (GSA) and Firefly Algorithm (FA).
机译:PID控制器是当今工业应用中最常见的控制器,并且可能是最重要的控制器。本文提出了一种ALO算法和ANN控制器,以提高PID控制器的性能,控制时滞系统的调节。基于控制参数,控制了延时系统,并针对不同的延时瞬间实现了低过冲和快速建立时间。所提出技术的新颖性是通过优化PID增益参数并控制高阶时延系统来提高PID控制器的性能。可以通过将误差,跟踪,时间延迟和误差最小化,快速而准确地最小化到各自的参考值来提高时间延迟系统的性能。借助时滞系统控制参数的最佳值,可以显着提高其性能。为了分析所提方法的特点,分析了各种时滞系统。从调谐系统中,初始化输入和增益参数以确定目标函数。基于提出的方法,获得了最优的结果,并评估了时滞系统的上升时间,超调,稳定时间和稳态误差。所提出的控制器在MATLAB / Simulink平台上实现,通过性能指标分析了所提出技术的有效性,并使用所提出的技术对时域规范进行了评估,并与人工蜂群算法(ABC),引力搜索等现有方法进行了比较。算法(GSA)和萤火虫算法(FA)。

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