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Speed control of dc motor using artificial bee colony optimization technique

机译:使用人造蜜蜂菌落优化技术的直流电动机速度控制

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摘要

The aim of this work is to design a speed controller of a DC motor by selection of PID parameters using bio-inspired optimization technique of Artificial Bee Colony Optimization (ABC). Here, model of a DC motor is considered as a second order system for speed control. In this work bio-inspired optimization technique in controllers and their advantages over conventional methods is discussed using MATLAB/Simulink. This proposed optimization methods could be applied for higher order system also to provide better system performance with minimum errors. The main aim is to apply ABC technique to design and tune parameters of PID controller to get an output with better dynamic and static performance. The application of ABC to the PID controller imparts it the ability of tuning itself automatically in an on-line process while the application of optimization algorithm to the PID controller makes it to give an optimum output by searching for the best set of solutions for the PID parameters.
机译:这项工作的目的是通过使用人造蜂殖民地优化(ABC)的生物启发优化技术选择PID参数来设计DC电机的速度控制器。这里,DC电动机的模型被认为是用于速度控制的二阶系统。在此工作中,使用Matlab / Simulink讨论了控制器中的生物启发优化技术及其与传统方法相比的优点。这一提出的优化方法也可以应用于更高阶系统,以提供更好的系统性能,具有最小的错误。主要目的是应用ABC技术来设计和调整PID控制器参数,以获得具有更好的动态和静态性能的输出。 ABC对PID控制器的应用赋予了在在线过程中自动调谐自身的能力,而优化算法在PID控制器中的应用使其通过搜索PID的最佳解决方案来提供最佳输出参数。

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