一种新的地理启发地震元启发式算法的电机控制优化

2018 Nanotechnology for Instrumentation and Measurement (NANOfIM) Pub Date : 2018-11-01 DOI:10.1109/NANOFIM.2018.8688616

Efrain Mendez, Alexandro Ortiz, Pedro Ponce, Arturo Molina

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引用次数: 10

摘要

本文提出了一种基于比例-积分-导数(PID)控制器的直流电机速度控制方法，该方法采用一种新的元启发式算法进行优化。本文提出了一种基于地震地质现象的元启发式优化方法。采用地震算法(EA)对对象模型和PID控制器进行优化。实验结果表明，该方法既改进了对象模型，又改进了PID速度控制器，是可行的。此外，所实现的实验控制系统证明了EA在各种连续非线性函数或工程应用中都是有效的。

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Electric machines control optimization by a novel geo-inspired earthquake metaheuristic algorithm

This paper presents a speed control of Direct Current (DC) motor with a Proportional-Integral-Derivative (PID) controller optimized by a new metaheuristic algorithm. A novel metaheuristic optimization method is proposed in this paper based on an earthquake as geology phenomenon. The Earthquake Algorithm (EA) is used to optimize both plant model and PID controller. Experimental results show a feasibility of the proposed method improving both the plant model and speed controller by PID. Besides, the implemented experimental control system proves that EA works in all different continuous nonlinear functions or engineering applications.

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来源期刊

2018 Nanotechnology for Instrumentation and Measurement (NANOfIM)

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