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Position Control of DC Motor Using Genetic Algorith Based PID Controller using Genetic algorithm
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基于遗传算法的小脑模型控制器对永磁无刷直流电机的数学模型进行仿真。内附全套程序及仿真模型。-Cerebellar model based on genetic algorithm for permanent magnet brushless DC motor controller, a mathematical model to be simulated. Containing a complete set of procedures and simulation models.
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Abstract-This paper introduces the new concept of Artificial
Neural Networks (ANNs) in estimating speed and
controlling the separately excited DC motor. The neural
control scheme consists of two parts. One is the neural
estimator, which is us
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提出一种改进的pso算法,整定pid控制器,来控制直流电机-An improved pso algorithm tuning pid controller to control the DC motor
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用pso算法整定双线pid控制器,来控制直流电机-Pso algorithm using two-pid controller tuning to control DC motor
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本文讲解了模糊PID控制器的相关知识,并进行了MATLAB仿真。-This paper explains the relevant knowledge of the fuzzy PID controller, and MATLAB simulation.
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直流电机的调速过程如下:本文研究的调速系统选择为经典的晶闸管——电动机转速闭环直流调速系统。由直流电机的实际转速与给定转速进行比较得到的偏差及偏差率送给模糊控制器,由模糊控制器计算出电机控制量,通过调节触发装置的控制电压u来移动触发脉冲的相位,即可改变电压。送给电机,实现电机的转速控制。
-DC motor speed control process is as follows: In this paper, the speed control system of choice for th
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