Optimal full-state feedback observer integrated backstepping control of chemical processes with unknown internal dynamics
| Autor: | Jingwen Huang, Jian-Qiao Sun, Zhankun Lv |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Lyapunov function
Chemical process 0209 industrial biotechnology State variable Observer (quantum physics) Computer science Applied Mathematics 020208 electrical & electronic engineering Stability (learning theory) System identification 02 engineering and technology Computer Science Applications symbols.namesake 020901 industrial engineering & automation Control and Systems Engineering Control theory Backstepping Full state feedback 0202 electrical engineering electronic engineering information engineering symbols Electrical and Electronic Engineering Instrumentation |
| Zdroj: | ISA transactions. 122 |
| ISSN: | 1879-2022 |
| Popis: | This paper studies the estimation and control problems of chemical processes with unknown internal dynamics. An observer with optimal full-state feedback characteristics for estimating the state variables and unknown dynamics is presented. Unlike other observers that need to know the frequency characteristics of the system, the pole of the proposed observer is determined automatically in a LQR formulation and the observer stability is also inherently ensured. In order to suppress the unknown internal dynamics, the proposed observer is then applied to the control design leading to an observer integrated backstepping control method. The proposed method does not depend on the detailed mathematical model of the system while the stability of the closed-loop system is guaranteed. The stability of the closed-loop system is proven in the Lyapunov sense. Extensive numerical simulations are presented to validate the proposed method. |
| Databáze: | OpenAIRE |
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