Fu, Tianjun (2005) Speed-sensorless torque control of induction motors for hybrid electric vehicles. Masters thesis, Concordia University.
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Abstract
Hybrid Electric Vehicles (HEVs) are exciting new additions to the car markets since they combine the best features of conventional and electric cars to improve environmental performance and reduce fuel consumption. HEVs get their driving power from both an internal combustion engine and an electric motor. Many researches have demonstrated the induction motor is one of the right electric motor candidates for the most HEVs due to its low cost, robustness and low maintenance. The objective of this research work is to develop a new speed-sensorless control method for induction motors to optimize torque response and improve robustness in order to meet the requirement of HEV applications. The proposed new control method is based on Sliding-Mode Control (SMC) combined with Space Vector Modulation (SVM) technique. The SMC contributes to the robustness of induction motor drives, and the SVM improves the torque, flux, and current steady-state performance by reducing the ripple. The Lyapunov direct method is used to ensure the reaching and sustaining of sliding-mode and stability of the control system. A sliding-mode observer is proposed to estimate the rotor flux and speed. Computer simulation results show that the proposed control scheme owns very good dynamic characteristics, high accuracy in torque tracking to various reference signals and strong robustness to external load disturbances
Divisions: | Concordia University > Gina Cody School of Engineering and Computer Science > Mechanical and Industrial Engineering |
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Item Type: | Thesis (Masters) |
Authors: | Fu, Tianjun |
Pagination: | xv, 118 leaves : ill. ; 29 cm. |
Institution: | Concordia University |
Degree Name: | M.A. Sc. |
Program: | Mechanical and Industrial Engineering |
Date: | 2005 |
Thesis Supervisor(s): | Xie, Wen Fang |
Identification Number: | LE 3 C66M43M 2005 F8 |
ID Code: | 8686 |
Deposited By: | Concordia University Library |
Deposited On: | 18 Aug 2011 18:32 |
Last Modified: | 13 Jul 2020 20:04 |
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