Design of interval type-2 fuzzy sliding-mode controller
Information Sciences: an International Journal
New fuzzy logic-based arithmetic and visual representations for systems' modelling and optimization
ROBIO '09 Proceedings of the 2008 IEEE International Conference on Robotics and Biomimetics
α-plane representation for type-2 fuzzy sets: theory and applications
IEEE Transactions on Fuzzy Systems
Type-2 Fuzzy Logic: A Historical View
IEEE Computational Intelligence Magazine
Speed control of induction motors using a novel fuzzy sliding-mode structure
IEEE Transactions on Fuzzy Systems
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In this paper; implantation of fuzzy logic controller for parallel hybrid electric vehicles (PHEV) is presented. In PHEV the required torque is generated by a combination of internal-combustion engine (ICE) and an electric motor. The controller simulated using the SIMULINK / MATLAB package. The controller is designed based on the desired speed for driving and the state of speed error. In the other hand, performance of PHEV and ICE under different road cycle is given. The hardware setup is done for electric propulsion system; the system contains the induction motor, the three phase IGBT inverter with control circuit using microcontroller. The closed loop control system used a DC permanent generator whose output voltage is related to motor speed. Comparison between simulation and experimental results show accurate matching.