{"title":"Design of electric loading system in flight simulator based on PIDNN","authors":"Li Changhua, Song Hua","doi":"10.1109/MEC.2011.6026030","DOIUrl":null,"url":null,"abstract":"Electric loading system is an important part of flight simulator. A control scheme based on proportional integral differential neural network (PIDNN) is proposed against the highly nonlinear and vulnerable of flight simulator electric loading system, and simulated by Matlab. Firstly analyze and study the model of the electric loading system, and theoretically analyze its disturbance from outside environment, and consequently ratiocinate the system formula. Then take use of superior adaptive function of PIDNN controller to control the model. The simulation experiment result shows that the PIDNN has nice properties of static and dynamic and robustness, so it can meet the need of real-time control, and is good preference for the electric loading system.","PeriodicalId":386083,"journal":{"name":"2011 International Conference on Mechatronic Science, Electric Engineering and Computer (MEC)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 International Conference on Mechatronic Science, Electric Engineering and Computer (MEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MEC.2011.6026030","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
Electric loading system is an important part of flight simulator. A control scheme based on proportional integral differential neural network (PIDNN) is proposed against the highly nonlinear and vulnerable of flight simulator electric loading system, and simulated by Matlab. Firstly analyze and study the model of the electric loading system, and theoretically analyze its disturbance from outside environment, and consequently ratiocinate the system formula. Then take use of superior adaptive function of PIDNN controller to control the model. The simulation experiment result shows that the PIDNN has nice properties of static and dynamic and robustness, so it can meet the need of real-time control, and is good preference for the electric loading system.
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