Abstract
This investigation deals with the introduction of a noble dynamic fuzzy model reference adaptive control scheme. In this work, we propose a new model of MRAC using fuzzy control for the speed control of DC Motor. The starting of our work is done with the general comprehensive designing of MRAC for first-order process along with the second-order process using MIT Rule. After that, the description regarding our proposed model is given. For the evaluation of the performance of the controller, fuzzy-based MRAC is applied on DC Motor. The simulation results are compared with other controllers showing that the reaching time and tracking can be extensively reduced.
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Baidya, D., Roy, R.G. (2018). Speed Control of DC Motor Using Fuzzy-Based Intelligent Model Reference Adaptive Control Scheme. In: Bera, R., Sarkar, S., Chakraborty, S. (eds) Advances in Communication, Devices and Networking. Lecture Notes in Electrical Engineering, vol 462. Springer, Singapore. https://doi.org/10.1007/978-981-10-7901-6_79
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DOI: https://doi.org/10.1007/978-981-10-7901-6_79
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