An adaptive control of electromechanical plant with limited uncertainty
| Autor: | Nguyen Duc Phu, Anastasiia D. Stotckaia, N. D. Polyakhov |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
0209 industrial biotechnology
Work (thermodynamics) Adaptive control Adaptive algorithm Computer science 02 engineering and technology Computer Science::Other 020901 industrial engineering & automation Exponential stability Control theory 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Transient (oscillation) Parametric statistics |
| Zdroj: | 2016 XIX IEEE International Conference on Soft Computing and Measurements (SCM). |
| DOI: | 10.1109/scm.2016.7519688 |
| Popis: | The adaptive algorithm is to control the elastic electromechanical object with limited parametric uncertainty. The algorithm ensures the asymptotic stability and relative roughness unaccounted disturbances, and has practically instantaneous convergence. A study modeling in MatLab / Simulink modes of electromechanical system shows the stabilization of form transient electromechanical system with significant variations of parameters (3 to 5 times). Implementation of algorithms is quite simple and does not require a large amount of work to enact. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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