Establishment of remote measure and control system based on complex dynamic objects

Author

Dong, Yang ; Wang, Shuangxin ; Liu, Hairui

Author_Institution

Sch. of Mech., Electron. & Control Eng., Beijing Jiaotong Univ. of Beijing, Beijing, China

fYear

2009

fDate

16-19 Aug. 2009

Abstract

The platform of Remote Measure and Control System is designed and constructed by LabVIEW and MATLAB, applying DataSocket and ActiveX, and takes the steam turbine speed control and single inverted pendulum systems which have complex dynamic characteristics as examples. In process of developing above real-time remote monitoring and control projects, fuzzy-immune-PID control of the turbine governing system based on compound chaos optimization strategy is considered, and T-S model double closed-loop fuzzy control is proof-tested in inverted pendulum. The results show that the novel platform not only establishes a real-time simulation environment to verify the application of scientific research, but also makes the local laboratory hardware accessible in long distances.

Keywords

chaos; closed loop systems; control engineering computing; fuzzy control; nonlinear control systems; optimisation; pendulums; steam turbines; three-term control; velocity control; ActiveX; DataSocket; LabVIEW; MATLAB; T-S model double closed-loop fuzzy control; complex dynamic objects; compound chaos optimization; control system; fuzzy-immune-PID control; real-time remote monitoring; remote measure; single inverted pendulum systems; steam turbine speed control; turbine governing system; Chaos; Control systems; Fuzzy control; MATLAB; Mathematical model; Real time systems; Remote monitoring; Turbines; Velocity control; Velocity measurement; LabVIEW; chaos optimization strategy; inverted pendulum; the platform of Remote Measure and Control System; turbine governing system;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronic Measurement & Instruments, 2009. ICEMI '09. 9th International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4244-3863-1

Electronic_ISBN

978-1-4244-3864-8

Type

conf

DOI

10.1109/ICEMI.2009.5274288

Filename

5274288