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Design and Analysis of Different Control Strategies for BLDC Motor

P. Bharat Kumar, P. Sujatha and K. S. R. Anjaneyulu

This paper presents a robust controller design for a Brush less DC motor by using Quantitative Feedback Theory [1] and its comparison with different control techniques. The different types of controller design techniques for a Brush Less DC motor involves (i) Fuzzy logic controller (ii)Genetic Algorithm based controller (iii)QFT Controller. The design of QFT controller involves preparation of performance characteristics, selecting QFT boundaries, choosing the controller structure and pre-filter design. All the controllers have been designed and simulated to control the BLDC Motor. The proposed (QFT) control system is more efficient in improving the step response characteristics such as, reducing the steady-states error; rise time, settling time and maximum overshoot in speed control of a linear brushless DC motor.

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哈姆达大学
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国际创新期刊影响因子(IIJIF)
国际组织研究所 (I2OR)
宇宙

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