학술논문

Fuzzy-logic strategy control for switched reluctance machine
Document Type
Conference
Source
2018 Thirteenth International Conference on Ecological Vehicles and Renewable Energies (EVER) Ecological Vehicles and Renewable Energies (EVER), 2018 Thirteenth International Conference on. :1-5 Apr, 2018
Subject
Bioengineering
Engineering Profession
Power, Energy and Industry Applications
Robotics and Control Systems
Transportation
Switches
Fuzzy logic
Rotors
Switched reluctance motors
Stators
switched reluctance machine SRM
fuzzy logic control
electric traction
hybrid vehicle
Language
Abstract
Switched reluctance machine (SRM) has low cost and good performance in hostile environments and high temperatures. These characteristics made it suitable for applications as electric vehicle. However, its difficult control is a disadvantage for this purpose. In this paper a fuzzy control strategy for switched reluctance machine applied for an integrated started-generator is presented. The inputs are the generated power error and its variation, and the output is the switching angle of the machine drive. The results are encouraging, although they are still provisional and we have to improve the control.