الفهرس 
Chapter 1 IntroductionOnly 14 pages are availabe for public view
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Abstract
Electric drive systems’ research covers a wide area last decades towards achieving high-performance and reliable systems. High efficiency, robust driving motor, and proper sensorless control are essential factors for these systems. Permanent magnet synchronous motors (PMSMs) provide high power-to-weight, high torque per current ratio, and high efficiency. PMSMs are common for high-performance applications such as robotics, and traction application systems.
PMSMs may be surface mounted (SM-PMSM) type or interior type (IPMSM). IPMSMs provide higher torque, robust design, higher efficiency, and a wider range of constant power region so that IPMSMs are more common. IPMSM is operated under maximum torque per ampere (MTPA) and field weakening (FW) operating modes for low and medium, and high-speed operation respectively.
Finite control set-model predictive control (FCS-MPC) can overcome the conventional field-oriented control (FOC) based on PI-controller problems such as gain tuning, operating conditions and delay dynamics. FCS-MPC is based on on-line solution of a quadratic programming problem cost function.
In this thesis, two controllers FOC and FCS-MPC schemes for an IPMSM drive system are proposed, implemented, and compared under MTPA/FW operating modes with and without speed measurement based on model reference adaptive system (MRAS) and super twisting algorithm sliding mode observers (STA-SMOs).
Simulation results proved that MPC has better performance than for FOC under MTPA/FW dynamic and steady state operation with/without speed measurement. MRAS and STA-SMO can estimate the rotor speed precisely. STA-SMO is more robust for speed estimation under model parameters’ variation.