Improving Performance Parameters of PMBLDC Motor using Fuzzy Sliding Mode Controller
Singirala Manoj1, D. Krishna2, T. Anil Kumar3
1Mr. Singirala Manoj, M-Tech Scholar, Department of EEE, Anurag Group of Institutions, Hyderabad, India.
2Mr. D. Krishna, Assistant Professor, Department OF EEE, Anurag Group of Institutions, Hyderabad, India.
3Dr. T. Anil Kumar, Professor, Department of EEE, Anurag Group of Institutions, Hyderabad, India.
Manuscript received on November 20, 2019. | Revised Manuscript received on November 26, 2019. | Manuscript published on 30 November, 2019. | PP: 3684-3689 | Volume-8 Issue-4, November 2019. | Retrieval Number: D7942118419/2019©BEIESP | DOI: 10.35940/ijrte.D7942.118419
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This paper proposes an intelligent speed control system for PMBLDC motor drive applications. A fuzzy sliding mode controller is designed for the high speed control of BLDC motors, Efficacy of the system can be improved by FSM controller. Due to the non- linear characteristics of BLDC motors PID controllers are not relevant to it. Noise disturbances, harmonics, and antecedent or consequent uncertainties are difficult to handle by Interval Type2 fuzzy PID controller. Whereas Sliding Mode Controller is most attractive control technique for all type of uncertainties, and improves the performance of the system. An effective Mat-lab / Simulation result presents the attractive performance of proposed system.
Keywords: Fuzzy Sliding Mode Controller, Interval Type2 Fuzzy Logic, PID Controller, PMBLDC Motor.
Scope of the Article: Network Performance; Protocols; Sensors.