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The Study Of DTC And Its Sensorless Control For PMSM Based On DSP

Posted on:2008-03-05Degree:MasterType:Thesis
Country:ChinaCandidate:Q ChenFull Text:PDF
GTID:2132360215475852Subject:Agricultural Electrification and Automation
Abstract/Summary:PDF Full Text Request
AC drive has become the most fundamental mode in the drive field. With the development of the electrical motor theories, modem power electronics techniques, microprocessor techniques and advanced control theories, the application of AC servo technology is more and more extensive.As a result of its outstanding control performance, Permanent Magnet Synchronous Motor(PMSM)is applied more and more in AC servo system. Therefore, studying Permanent Magnet Synchronous Motor servo system based on the DSP is quite significant.This thesis further investigated the basic principle of controlling the method of direct torque of the PMSM. Based on evaluating the PMSM for organization and characteristic, its mathematics models in several coordinate were set up. The thesis analyzed the principle of PMSM DTC and proposed the PMSM DTC strategy. Based on the principle and structure of the direct torque control of PMSM, This thesis proposed two improved PMSM DTC systems and set up the modules of these systems with MATLAB/Simulink. Through the simulation of the system. The results were concordant with the theory analysis.Based on the simulation, this thesis introduced the hardware realization and software realization in detail, designed the digital controlling platform of DTC based onthe high-speed digital signal processor(TMS320C2812) and Intelligent Power Model, and realized the experiment of the PMSM DTC system The results were concordant with simulation results. At last, based on the analysis of the principle of PMSM DTC, the thesis proposed a sensorless control for PMSM DTC system and set up the modules with MATLAB. The simulation results shows that the system worked stably, and observer was highly precision.
Keywords/Search Tags:Permanent Magnet Synchronous Motor, DTC, neural network, sensorless control, SVPWM
PDF Full Text Request
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