Improved generalized proportional integral observer based control for systems with multi-uncertainties
| Autor: | Jian Feng, Bingkuan Yin |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Lyapunov function
0209 industrial biotechnology Singular perturbation Computer science Applied Mathematics 020208 electrical & electronic engineering 02 engineering and technology Active disturbance rejection control DC motor Computer Science Applications symbols.namesake 020901 industrial engineering & automation Control and Systems Engineering Control theory Control system Bounded function 0202 electrical engineering electronic engineering information engineering symbols RLC circuit State observer Electrical and Electronic Engineering Instrumentation |
| Zdroj: | ISA Transactions. 111:96-107 |
| ISSN: | 0019-0578 |
| DOI: | 10.1016/j.isatra.2020.10.067 |
| Popis: | It is difficult to control systems with multi-uncertainties directly based on traditional active disturbance rejection control (ADRC) framework, due to the mismatched condition, non integral-chain form. Besides, the traditional Hurwitz bounded stability of the extended state observer (ESO) may not guarantee acceptable observation accuracy. To this end, this paper presents an improved generalized proportional integral observer (IGPIO) to estimate the multi-uncertainties and the derivatives, and an IGPIO based control (IGPIOBC) strategy is proposed to eliminate the multi-uncertainties actively and accurately. The proof of bounded stability for the IGPIO and the closed loop system are derived by the singular perturbation approach and Lyapunov theory. Meanwhile, the corresponding relationship between the gain parameters and the bandwidth of the IGPIO is deduced. The simulations of the numerical example, RLC circuit and DC motor system verify the effectiveness of the proposed method. |
| Databáze: | OpenAIRE |
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