A Stable Real-time Optimal Multiple-model based Control of a Nonlinear Process
| Authors: | Safavi Akbar, Queen Mary, University of London, United Kingdom
Khayatian A., Shiraz University, Iran (Islamic Republic of)
Aminzadeh A., Shiraz University, Iran (Islamic Republic of)
Talukder Y.M., Queen Mary, University of London, United Kingdom
Shaeed M.H., Queen Mary, University of London, United Kingdom
Huijberts H.J.C., Queen Mary, University of London, United Kingdom |
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| Topic: | 2.3 Non-Linear Control Systems |
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| Session: | Nonlinear Controller Design |
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| Keywords: | Optimal Control, Real Time, Multiple Models, Data Acquisition |
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Abstract
This article presents a real-time H2 optimal control platform which guarantees the stability of a system and also is capable of controlling some complex nonlinear processes using a multiple model based concept. The idea is based on developing local linear models for the whole operating range of the process being controlled in Matlab/Simulink/Real-Time-Workshop environment using Visual C++ and Watcom compilers and a DAQ interface. Two real nonlinear plants are approximated by sets of local models where each model is valid for a small operating region and connected together to form a global continuous model using proper Gaussian validity and interpolation functions. Stability of the global system based on the local stability of the sub-systems is also addressed and results are presented.
