Model Predictive Speed and Torque Control of Induction Motor for Electric Vehicle

dc.contributor.advisorMengesha Mamo
dc.contributor.authorTsion Nigusse
dc.date.accessioned2026-03-03T06:20:06Z
dc.date.available2026-03-03T06:20:06Z
dc.date.issued2025-07-01
dc.description.abstractThis thesis proposes, a model predictive controller in order to control the speed and torque of the induction motor. The induction motor has several interesting benefits, in cluding simplicity, affordability, robustness, high efficiency, and flexibility features makes it a desirable choice for electric vehicles (EV) applications. A cascaded control structure is used, which has an external loop and an internal loop. Where the external loop is used for controlling the speed of the motor, and re sult were verified through MPC,ISMC and LQR controllers. The inner control loop is based on Finite Control Set Model Predictive Torque Control (FCS-MPTC), which al lows precise torque control, fast dynamic response, and ease of implementation. It uses the output of speed controller as a reference and the mathematical model of the motor for estimation, prediction, and optimization. In addition, discretizations were made using the forward euler approximation on a given sampling period. In addition, to achieve good dynamic performance, the motor is powered by 2L-VSI. These models were integrated and simulations were carried out using Matlab/Simulink. As shown in the results, both MPC and ISMC have good disturbance rejection capa bility. However, LQR has a larger steady-state error in the presence of sudden disturbance.
dc.identifier.urihttps://etd.aau.edu.et/handle/123456789/7803
dc.language.isoen_US
dc.publisherAddis Ababa University
dc.subjectInduction Motor
dc.subjectEVs
dc.subjectMPC
dc.subjectLQR
dc.subjectFCS-MPTC
dc.subject2L-VSI
dc.subjectISMC
dc.titleModel Predictive Speed and Torque Control of Induction Motor for Electric Vehicle
dc.typeThesis

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