直流电动机
控制理论(社会学)
电子速度控制
计算机科学
控制器(灌溉)
模糊逻辑
控制(管理)
物理
电气工程
人工智能
农学
生物
工程类
量子力学
作者
Pooja Agarwal,Arpita Bose
出处
期刊:IOSR Journal of Electrical and Electronics Engineering
[IOSR Journals]
日期:2013-01-01
卷期号:5 (5): 68-78
被引量:12
摘要
This paper demonstrates the detailed analysis of Proportional-Integral (PI) controller and Fuzzy Logic controller for speed control of a Permanent Magnet Brushless DC (PMBLDC) motor for different speed commands and varying load torque conditions. Implementation of PI controller in closed loop conditions is done. Analysis of classical tuning methods to obtain best PI parameters for speed control is calculated. Fuzzy controller is also implemented for the same and the simulation results obtained for both PI and Fuzzy control in MATLAB/Simulink are compared. PI controllers have poor response due to overshoot, more drop in speed and oscillations. Intelligent control like Fuzzy Logic is gaining momentum as it can overcome these disadvantages. Microcontroller based controller implementation is tested using a virtual motor and the results or PI controller are validated using software results. Keywords- BLDC, Fuzzy logic controller, PI controller, PWM and virtual motor
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