Self-Tuning Control Scheme Based on the Robustness σ -Modification Approach
| Autor: | Najib Essounbouli, Abdelaziz Hamzaoui, Nabiha Touijer, Samira Kamoun |
|---|---|
| Přispěvatelé: | Centre de Recherche en Sciences et Technologies de l'Information et de la Communication - EA 3804 (CRESTIC), Université de Reims Champagne-Ardenne (URCA) |
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
0209 industrial biotechnology
Computer engineering. Computer hardware Article Subject General Computer Science 02 engineering and technology 01 natural sciences [SPI.AUTO]Engineering Sciences [physics]/Automatic TK7885-7895 020901 industrial engineering & automation Robustness (computer science) Control theory [INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO] 0101 mathematics Electrical and Electronic Engineering Cruise control ComputingMilieux_MISCELLANEOUS Mathematics Recursive least squares filter Mathematical model 010102 general mathematics Linear system [SPI.NRJ]Engineering Sciences [physics]/Electric power Self-tuning Small-gain theorem Autoregressive model Signal Processing |
| Zdroj: | Canadian Journal of Electrical and Computer Engineering Canadian Journal of Electrical and Computer Engineering, Institute of Electrical and Electronics Engineers, 2017, 2017, pp.1-13. ⟨10.1155/2017/8653136⟩ Journal of Electrical and Computer Engineering, Vol 2017 (2017) |
| ISSN: | 0840-8688 |
| DOI: | 10.1155/2017/8653136⟩ |
| Popis: | This paper deals with the self-tuning control problem of linear systems described by autoregressive exogenous (ARX) mathematical models in the presence of unmodelled dynamics. An explicit scheme of control is described, which we use a recursive algorithm on the basis of the robustnessσ-modification approach to estimate the parameters of the system, to solve the problem of regulation tracking of the system. This approach was designed with the assumptions that the norm of the vector of the parameters is well-known. A new quadratic criterion is proposed to develop a modified recursive least squares (M-RLS) algorithm withσ-modification. The stability condition of the proposed estimation scheme is proved using the concepts of the small gain theorem. The effectiveness and reliability of the proposed M-RLS algorithm are shown by an illustrative simulation example. The effectiveness of the described explicit self-tuning control scheme is demonstrated by simulation results of the cruise control system for a vehicle. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|