الفهرس 
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Abstract
Applications of solar, wind, hydro, geothermal, tidal, and wave energy have surfaced as new paradigms for meeting the energy needs of our civilization. Renewable energy production, especially wind energy has increased dramatically in recent decades because the reduction of fossil fuels. Synchronous generators, particularly permanent-magnet synchronous generators (PMSG), are used extensively in wind turbines for high-variable wind applications.
Generators can be controlled using a wide variety of techniques, but one of the challenging aspects of the generating system is figuring out which control is best. Therefore, the goal of the thesis under consideration is to create a better control system to improve a PMSG’s dynamics as it operates at different speeds. To verify the efficacy of the suggested control system, the generator dynamics are assessed based on lowering torque ripples, power ripples, and current harmonics. Reducing torque ripples is crucial for minimizing shaft oscillation, which harms the mechanical coupling while lowering current harmonics is essential for obtaining high power quality. The majority of control strategies for PMSGs rely on PWM in conjunction with linear regulators. Each of these elements added to the control scheme’s overall complexity.
Recent studies have demonstrated that model predictive control (MPC) satisfies all of these conditions and that the PMSG can be controlled with an advanced control theory without the need for modulators or linear regulators. The MPC has a number of benefits, including the ability to combine many control loops into a single loop, and is easy to apply to multivariable systems. It also provides a quick dynamic response. Moreover, it facilitates the incorporation of nonlinearities and constraints into the control law, hence increasing the control’s adaptability to specific application needs. As a result, the thesis under consideration examines various MPC implementations as well as one kind of linear control called field-oriented control (FOC).
Several controllers have been adopted, including the newly designed predictive voltage control (PVC), model predictive power control (MPPC), model predictive torque control (MPTC), model predictive current control (MPCC), and model predictive active and reactive predictive torque control (MPARTC). Furthermore, there are three distinct methodologies built into the newly designed PVC to produce the reference voltage signals. The specified performance analysis study for the three different categories of the designed PVC is also considered in this thesis which concluded its evaluation that the designed PVC based on the backstepping theory provides the most effective dynamic performance and the least amount of ripples.
This stage is considered to thoroughly examine the internal operations of the designed PVC scheme. This thesis discusses every controller, starting with the theoretical operation concept, control schematic diagrams, and implementation. It concludes with a thorough analysis of each controller’s performance, taking into account factors like dynamic response, control complexity, ripples, current harmonics, and computation capacity. The Matlab/Simulink software is used for all simulation and evaluation tests.
The obtained results approve the superiority of the designed PVC scheme over all other considered controllers (SVOC, MPPC, MPTC, MPARTC, and MPCC). The designed PVC scheme exhibites faster dynamics and simpler structure when compared with the SVOC; meanwhile, it provided better-generated power quality and reduced computational load when compared with the remaining predictive controllers. For the latter comparison, the reduced power, torque, and flux ripples reduced current harmonics, and faster dynamic response are the most significant achievements.