Open AccessVehicle Drive Control Using Fuzzy Based PI Speed Controller
Author(s) -
Subarna Shakya
Publication year - 2020
Publication title -
journal of electrical engineering and automation
Language(s) - English
Resource type - Journals
ISSN - 2582-3051
DOI - 10.36548/jeea.2020.2.002
Subject(s) - control theory (sociology) , fuzzy logic , electronic speed control , controller (irrigation) , vector control , computer science , pid controller , fuzzy control system , control engineering , reference frame , electric vehicle , frame (networking) , engineering , control (management) , induction motor , voltage , physics , temperature control , artificial intelligence , telecommunications , agronomy , electrical engineering , biology , power (physics) , quantum mechanics
This paper proposes a fuzzy PI speed controller which is used in electric vehicle’s drive control system insensitive to parameter change and disturbance, using fuzzy control theory. A permanent magnet synchronous motor (PMSM) is modelled mathematically in d-q reference frame. In this paper, a sliding model and fuzzy control theory are used to simulate the PMSM models using fuzzy control theory. Simulink software is used to analyze and simulate the simulation models which show that the proposed PI control based on fuzzy logic will have better anti-interference, better dynamic performance, and faster dynamic response speed when compared with the sliding motor control. Hence the proposed methodology is considered to be the ideal control method with a predefined vector control reference value for the electric vehicle’s motor.