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Research On Energy Saving Control Of Excitation System Of Synchronous Motor

Posted on:2016-05-26Degree:MasterType:Thesis
Country:ChinaCandidate:Y W DuanFull Text:PDF
GTID:2272330509450865Subject:Power system and its automation
Abstract/Summary:PDF Full Text Request
The power synchronous motor widely used in mining enterprises is the problem of running low efficiency and high power consumption. Synchronous motor is the main load of power loss. The energy saving and loss reduction of synchronous motor and power supply system are significant and the economic operation mode is of great practical significance.Through the analysis of synchronous motor energy-saving control technology, a by regulating the exciting current of the motor to achieve high power synchronous motor energy saving control strategy, and in-depth analysis and study of the control strategy is put forward.The control scheme of excitation system for the operation of the synchronous motor constant power factor is studied. The excitation control system of the synchronous motor is designed, and the transfer function of the mathematical model is established. The fuzzy PID excitation energy saving control is optimized by using genetic algorithm in control unit. In the MATLAB build simulation platform, the fuzzy PID excitation control and genetic algorithm optimization of fuzzy PID excitation control are simulated and compared. The simulation results show that the energy saving of the synchronous motor can be achieved by the optimization of the fuzzy PID excitation energy saving with the genetic algorithm.Genetic algorithm is used to optimize the fuzzy PID excitation energy saving control in the motor load constant and fluctuating conditions can rapidly and stably adjusting excitation system, the motor power and power factor values can meet the requirements of optimal operation. So as to achieve the purpose of energy saving for motor and power supply system.
Keywords/Search Tags:Synchronous motor, Energy-saving control, Excitation system, Constant power factor, Genetic algorithm, Fuzzy-PID control
PDF Full Text Request
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