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Servo-electric Cylinder System Development And Control Strategy Optimization Research

Posted on:2024-02-04Degree:MasterType:Thesis
Country:ChinaCandidate:S H ZhengFull Text:PDF
GTID:2542307094483024Subject:Mechanics (Professional Degree)
Abstract/Summary:PDF Full Text Request
With the development of science and technology and industrial automation,automated production processes on the equipment requirements are increasingly high,the traditional cylinder,hydraulic cylinders continue to expose a variety of problems,has not been able to meet the needs of the intelligent era,servo electric cylinder was born and began to develop rapidly.Servo-electric cylinders are modular products with the advantages of compact structure,good interchangeability,high control accuracy as well as fast response time.However,with the widespread use of servo-electric cylinders in many fields,higher accuracy is required for their position control.Therefore,this paper takes the foldback servo-electric cylinder as the research object and optimizes the position control strategy of servo-electric cylinder as follows.(1)Servo-electric cylinder selection architecture.This paper firstly introduces the basic structure,classification and working principle of servo electric cylinder,then adopts the existing ball screw and servo motor selection and calculation process as the basis,and takes TBI ball screw and Huichuan MS1 servo motor as an example to systematically study the main mechanism selection and calculation of servo electric cylinder.(2)Establish the mathematical model of servo-electric cylinder system position control and obtain the system characteristics by particle swarm algorithm solution.By analyzing the mathematical model of the permanent magnet synchronous motor,the mathematical model of the position control of the servo-electric cylinder system is established,and the particle swarm algorithm is used to identify the system for the parameters that cannot be obtained during the mathematical modeling of the servo-electric cylinder.By analyzing the structure and mathematical model of the system,the characteristics of the system are understood,and the foundation for the subsequent study of the optimization of the control strategy of the servo-electric cylinder is established.(3)Optimize the servo-electric cylinder position control strategy.In this paper,the parameters of the PID controller are self-tuned by the whale optimization algorithm to obtain better PID parameters.Since the servo-electric cylinder requires very high accuracy for position control,further improvement of the whale algorithm is needed and the control strategy is tested by building a model in Simulink for simulation.The simulation results show that the PID parameters adjusted by the improved whale algorithm can reach the steady-state value in 0.35 s,which is 56% shorter than that of the unimproved whale algorithm,and the steady-state error is 44% lower.(4)Experimental verification of the effectiveness of the control strategy.The servo-electric cylinder position control test platform is established to conduct the positioning accuracy test and position response test of the servo-electric cylinder to test the control strategy studied in this paper.The positioning accuracy test results proved that the positioning accuracy of the servo-cylinder using the improved whale algorithm to adjust the PID parameters improved by 17.5% compared to the positioning accuracy of the servo-cylinder itself.The position response test results demonstrate that the step response curve rise time is reduced by 50%,the steady-state error is reduced by 42%,and the frequency response curve error amplitude is reduced by 31% for the PID parameters calibrated with the improved whale algorithm studied in this paper compared to the PID parameters calibrated with the traditional whale algorithm.
Keywords/Search Tags:Servo electric cylinder, Servo motor, Position control, Position response
PDF Full Text Request
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