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Research On Design Of Speed Regulator And Its Parameters Setting Method For Servo System

Posted on:2020-12-25Degree:MasterType:Thesis
Country:ChinaCandidate:X C ShenFull Text:PDF
GTID:2428330590982909Subject:Mechanical engineering
Abstract/Summary:PDF Full Text Request
Servo system is the core of CNC equipment,and its control performance directly affects the development level of national high-end industrial manufacturing.One of the core technologies of the AC servo system is the speed controller.At present,the servo system mainly uses the traditional PI controller as the speed controller,and the fixed control parameters restrict the adaptability of the servo system to the working environment.In this paper,a composite speed controller is proposed,and its control parameters are self-tuned,which improves the response speed and adaptability of the servo system and simplifies the adjustment work of engineers.The main research contents of this paper are as follows:1?Combining the research status of speed controller for the permanent magnet AC servo system and the semi-physical experiment simulation platform at home and abroad,The mathematical model and current decoupling method of permanent magnet synchronous motor are analyzed,and the voltage space vector control theory is analyzed.Based on those,the SIMULINK model of permanent magnet AC servo system is established.2?Based on the traditional PI controller,the Bang-Bang control and fuzzy control are combined to design a Bang-Bang and fuzzy composite controller(BBFC-PI),which improves response performance and adaptability of the servo system by switching the Bang-Bang PI sub-controller and fuzzy PI sub-controller.The influence and function of the controller's proportional coefficient,integral coefficient,quantization factor and scale factor on the control performance of the servo system are determined by SIMULINK simulation experiments.3?The PI initial value,quantization factor and scale factor of BBFC-PI controller are off-line set by improved particle swarm optimization algorithm(IPSO).An improved time error absolute value integration(IITAE)performance index is proposed to reduce the overshoot of the servo system.The SIMULNIK simulation proves that the servo system has a small overshoot of the servo system optimized by the IITAE performance index,and the BBFC-PI controller has the characteristics of rapid response and strong adaptability.4?Based on the dSPACE component system,a semi-physical experiment simulation platform was built.Based on dSPACE's real-time interface library and MATLAB's SIMULINK library,a real-time simulation model of the AC servo system controller was established.The proposed theory was verified by no-load and sudden loading experiments.The experimental results show that: compared with ITAE,the servo system overshoot of IITAE as the objective function optimization is reduced by 83.33%;compared with the traditional PI controller,the BBFC-PI controller controls the servo system speed response time by 30%,and the load steady-state error is reduced by 54.55%.
Keywords/Search Tags:Servo system, Speed regulator, Particle swarm optimization, Fuzzy control, dSPACE
PDF Full Text Request
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