Desain Hibrid Menggunakan PID-ANFIS Controller Pada Motor DC Berbasis PSO (Particle Swarm Optimization)

Machrus Ali, A. Syaifudin, Hidayatul Nurohmah
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引用次数: 1

Abstract

DC motors can be used as generators or motors. For this reason, it is necessary to design the best DC motor speed regulation in order to obtain the best optimization. DC motor setting modeling must be adjusted to the DC motor characteristics and setting model. The results of the performance of the DC control model have a different steady-state error, settling time, and overshoot. From the results of running the program, it is found that the PID-PSO-ANFIS hybrid control model produces the best output performance. The results of PID-PSO-ANFIS optimization show that there is no overshot and undershot, settling time is 0.04 seconds, the motor speed reaches a constant and stable state. This design will be developed using artificial intelligence methods and other controllers in order to obtain the best optimization.
基于粒子群算法的混合PID-ANFIS控制器的设计
直流电机可用作发电机或电动机。为此,有必要设计最佳直流电机调速,以获得最佳优化。直流电机的整定建模必须根据直流电机的特性和整定模型进行调整。结果表明,直流控制模型具有不同的稳态误差、稳定时间和超调量。从运行结果来看,PID-PSO-ANFIS混合控制模型的输出性能最好。PID-PSO-ANFIS优化结果表明,无过冲和欠冲现象,稳定时间为0.04秒,电机转速达到恒定稳定状态。本设计将使用人工智能方法和其他控制器进行开发,以获得最佳优化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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