Font Size: a A A

Research On The Simulation Loading System Of An Artillery Follow-up Test Platform

Posted on:2022-05-28Degree:MasterType:Thesis
Country:ChinaCandidate:Q X LiFull Text:PDF
GTID:2512306755453784Subject:Mechanical and electrical engineering
Abstract/Summary:PDF Full Text Request
The gun follow-up test detection platform is a device used for real-time torque loading of the gun control system,also known as a load simulator.With the advancement of national defense technology,the accuracy and response speed of artillery control systems have gradually improved,and the requirements for the performance of load simulators have also increased.The load simulator is used to simulate the load situation of the gun control system in the actual environment in real time,which can accelerate the development of the gun control system and evaluate its performance.Therefore,it is very important to design a load simulator with fast response and high loading accuracy and engineering practical value.This article focuses on the study of load simulator control strategy and system implementation,aiming to improve the torque loading accuracy of the loading system.The main contents are as follows:(1)Designed the load simulator as an electric loading method,used mathematical methods to analyze the load simulator and loading torque motor,introduced the direct torque control method,and found its advantages and disadvantages through simulation.Established a load simulator system model and analyze the nonlinear factors of the system,and demonstrated the necessity of designing a disturbance-resistant nonlinear controller.(2)In view of the characteristics of the overall system nonlinearity and the torque ripple generated by the traditional direct torque control method,a nonlinear sliding mode direct torque control method is designed to suppress the torque ripple.Considering the influence of sliding mode chattering,a new sliding mode approaching law is designed to suppress sliding mode chattering and improve sliding mode approaching motion rate.(3)A fuzzy RBF neural network regulator is designed to dynamically adjust the coefficients of the sliding mode approaching law,in order to improve the approaching speed of the sliding mode and suppress chattering,and give full play to the performance of the sliding mode controller.Designed a sliding mode speed observer to replace the sensor,estimate the motor speed,reduce the system cost and improve the system's adaptability to the environment.The disturbance torque expander is designed to perform feedforward compensation for the excess torque and disturbance torque of the system to improve the loading accuracy of the system.Finally,built a semi-physical simulation platform of the load simulator of the follow-up platform and the fire control position control system is simulated and loaded.The paper analyzed the main problems in the design of the load simulator,and designed the sliding mode controller,observer,fuzzy RBF regulator and disturbance torque expansion observer.Finally,the simulation loading test proved that the overall control system meets the design requirements.The paper design has practicality and application value.
Keywords/Search Tags:Electric load simulator, slide mode control, fuzzy-neural network, improved sliding mode observer
PDF Full Text Request
Related items