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Research On Active Disturbance Rejection Control Of Induction Motors Based On Ant Colony Optimization Algorithm

Posted on:2017-03-10Degree:MasterType:Thesis
Country:ChinaCandidate:C DuFull Text:PDF
GTID:2382330566468176Subject:Motor and electrical appliances
Abstract/Summary:
Facing the problems that induction motor is sencitive to motor parameter in the common vector control system,and the decoupling between torque subsystem and magnetic field subsystem is difficult,a novel control strategy called as the auto-disturbances-rejection controller(ADRC)is applied to AC variable-frequency and speed regulation system.The active disturbance rejection controller can estimate the system states and its derivative signals accurately,thus,precise decoupling of induction motor is achieved.In addition,the proposed strategy realizes the disturbance compensation without accurate knowledge of induction motor parameters,so that the accurate model of induction model is not required.That means the design of active disturbance rejection controller is independent on the controlled system model.As for the difficulties of tuning many parameters in ADRC controller,a novel ADRC control method which employs the ant colony optimization(ACO)algorithm to search for the reasonable parameters automatically is proposed in the induction motor driving system.ACO has the ability of global search and parallel process,so it can reduce the reliance of ADRC controller on parameters.In this paper,the simulation model is set up in the Matlab,and then the experimental rlatform based on TMS320F28335 is also bulit to verify the correctness of the control strategy based on auto disturbance rejection control in the induction motor control system.Ant colony algorithm is planted into the the induction motor control system based on auto disturbance rejection control to verify the correctness of the control strategy.Finally,simulation and experimental results indicate that the optimal design method is feasible and effective.
Keywords/Search Tags:Induction motor, Auto Disturbance Rejection Control, Ant Colony Algorithm, Parameter Optmization, Robust
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