الفهرس 
INTRODUCTIONOnly 14 pages are availabe for public view
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Abstract
Permanent Magnet Synchronous Motors (PMSMs) are one of the most popular and efficient AC motors which have been used in many industrial applications. PMSM and regular wound rotor synchronous machine have many similarities, however PMSM doesn’t have damper windings and excitation is given by a permanent magnet not field winding. Slip rings, dc supply and field winding removal leads to reduction of complexity and motor loss. There are various methods used to control PMSM speed. Field Oriented Control (FOC) is a type of Vector Control (VC) which is widely used to control speed of PMSM. The proposed control includes FOC along with Space Vector Pulse Width Modulation technique (SVPWM) which is a modulation technique with lower Total Harmonic Distortion (THD) and better dc link utilization compared to more frequently used approaches like PWM or sinusoidal PWM (SPWM). Traditional Proportional-Integral (PI) controller is primarily utilized in industry owing to its robustness. But the performance of the controller is influenced by altering dynamics of the system over time or with operating circumstances. These drawbacks can be minimized by tuning the PI controller using intelligent techniques. The proposed system is employed in which two control loops are utilized; the inner current loop contains two PI controllers to control flux and the torque of PMSM and the outer speed loop includes PI speed controller to regulate motor speed and produce reference signal for q-axis current controller. In this thesis, the fundamental operation theory of control technique is introduced. A mathematical model for FOC of PMSM is established. Both Particle Swarm Optimization (PSO) and Cuttlefish Algorithm (CFA) are utilized to tune parameters of speed controller of a field oriented controlled PMSM drive where CFA is a new bio-inspired optimization algorithm. The targets of these algorithms are to optimize PI speed controller gains and to minimize the cost function which is the Integral Time Absolute Error (ITAE) criterion. A performance comparison is provided of proposed drive system with conventional PI controller tuning method and PI controller which relies once on PSO and once again on CFA optimization method for optimal gains tuning and hence enhance the performance of the system. Modeling and simulation for speed control system of PMSM is established utilizing MATLAB/SIMULINK. Simulation results showed the effectiveness of both optimization techniques PSO and CFA to track the desired speed over conventional method and also they have better dynamic responses and improved motor performance.