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The Design Of The Servo Control Experiment And Research

Posted on:2014-02-27Degree:MasterType:Thesis
Country:ChinaCandidate:F L ChuFull Text:PDF
GTID:2242330395982692Subject:Mechanical Manufacturing and Automation
Abstract/Summary:PDF Full Text Request
With a weaponry Model project, this paper studies the servo system of a multi-purpose small-arm platform to design and build a set of servo control experiment platform. Related experiments can be conducted by the experimental platform so as to facilitate the development of a multi-functional system of small-arm platform.The mechanical part of the experimental station of the servo was designed. The required inertia disk has been calculated according to the technical requirements of the experimental station. After the calculation and comparison, the motor, speed reducer, torque sensor, magnetic-powder brake, resolver and such components were selected. The system assembly and commissioning met the specification requirements of servo test bench and the accuracy.Through the analysis of mathematical models and control principle of permanent magnet synchronous motor, based on the composition and control principle of the servo system, using MATLAB simulink module to build the motor, controller, and coordinate transformation model, control stimulation was conducted to servo system. Digital PID control algorithm and the PID control algorithm based on BP neural network were used for control simulation to experimental station. In the environment of different control signals and the moment of inertia, analysis and comparison of the dynamic response curve and the static error curve were made. The effectiveness of the stimulation model has been proved. The system has good dynamic and static characteristics.After the assembly and commissioning were completed, the servo system was applied with the digital PID control and PID control based on BP neural network as an experimental analysis. According to the statistics obtained by no-load experiment and full-load one as well, the experimental data analysis, the correctness of hardware and software designs of the bench, the stability of the control algorithm and the validity of the simulation results have been verified.
Keywords/Search Tags:Servo Bench, Mechanical Parts, Simulation, Digital PID, Neural Network
PDF Full Text Request
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