Advanced Control Strategies of PMSM Based Wind Energy Conversion Systems

dc.contributor.advisorChengzong Pang
dc.contributor.authorHASHIM MOHAMMED ALNAMI
dc.date2021
dc.date.accessioned2022-06-01T13:51:28Z
dc.date.available2022-06-01T13:51:28Z
dc.degree.departmentElectrical Engineering
dc.degree.grantorWichita State University
dc.description.abstractWind energy conversion system (WECS) is a system helps to produce the electrical energy by transforming the incoming air stream. This system has two basic steps. First step is the mechanical power which comes from the wind turbine blades. The second step is the electrical power which produces by the generator. Due to complexity and dynamic variability of electrical generator parameters, traditional control systems such as proportional-integraldeferential (PID) controller has poor performance in case of fast dynamic response. With WECS, the traditional control systems cause many controlling issues that affect WECS’s efficiency and lead the system to have poor performance. Overshoot, undershoot, slow rising time, and chattering are the consequences of applying the traditional control systems to permanent magnet synchronous machine (PMSM). The main purpose of this dissertation is to addresses this control issues and solves it which improve the PMSM’s performance and WECS overall inefficiency. The dissertation proposes two advanced control strategies that can enhance the electrical generator outcomes variables. Sliding mode control method (SMC) and state dependent riccate equation control method (SDRE) have been derived, designed,and applied to PMSM based WECS. The modeling results shows that both control systems improved the generator dynamic response and limited the overshoot, undershoot, and chattering effects. The simulation of the proposed models and results were simulated using MATLAB Simulink software.
dc.identifier.urihttps://drepo.sdl.edu.sa/handle/20.500.14154/57912
dc.language.isoen
dc.titleAdvanced Control Strategies of PMSM Based Wind Energy Conversion Systems
sdl.thesis.levelDoctoral
sdl.thesis.sourceSACM - United States of America

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