Speed tracking control of pneumatic motor servo systems using observation-based adaptive dynamic sliding-mode control

Syuan Yi Chen*, Sheng Sian Gong

*此作品的通信作者

研究成果: 雜誌貢獻期刊論文同行評審

39 引文 斯高帕斯(Scopus)

摘要

This study aims to develop an adaptive high-precision control system for controlling the speed of a vane-type air motor (VAM) pneumatic servo system. In practice, the rotor speed of a VAM depends on the input mass air flow, which can be controlled by the effective orifice area (EOA) of an electronic throttle valve (ETV). As the control variable of a second-order pneumatic system is the integral of the EOA, an observation-based adaptive dynamic sliding-mode control (ADSMC) system is proposed to derive the differential of the control variable, namely, the EOA control signal. In the ADSMC system, a proportional–integral–derivative fuzzy neural network (PIDFNN) observer is used to achieve an ideal dynamic sliding-mode control (DSMC), and a supervisor compensator is designed to eliminate the approximation error. As a result, the ADSMC incorporates the robustness of a DSMC and the online learning ability of a PIDFNN. To ensure the convergence of the tracking error, a Lyapunov-based analytical method is employed to obtain the adaptive algorithms required to tune the control parameters of the online ADSMC system. Finally, our experimental results demonstrate the precision and robustness of the ADSMC system for highly nonlinear and time-varying VAM pneumatic servo systems.

原文英語
頁(從 - 到)111-128
頁數18
期刊Mechanical Systems and Signal Processing
94
DOIs
出版狀態已發佈 - 2017 9月 15

ASJC Scopus subject areas

  • 控制與系統工程
  • 訊號處理
  • 土木與結構工程
  • 航空工程
  • 機械工業
  • 電腦科學應用

指紋

深入研究「Speed tracking control of pneumatic motor servo systems using observation-based adaptive dynamic sliding-mode control」主題。共同形成了獨特的指紋。

引用此