Experimental verification of a real-time tuning method of a model-based controller by perturbations to its poles
| Autor: | Shinichi Ishizuka, Itsuro Kajiwara, Keiichiro Furuya |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
0209 industrial biotechnology
Adaptive control Computer science Vibration control Aerospace Engineering 02 engineering and technology Simultaneous perturbation stochastic approximation 020901 industrial engineering & automation Control theory 0202 electrical engineering electronic engineering information engineering Model-based control Control (linguistics) Civil and Structural Engineering Online tuning Model based controller Mechanical Engineering 020208 electrical & electronic engineering Object (computer science) Computer Science Applications Control and Systems Engineering Adaptive design Signal Processing Smart structure |
| Zdroj: | Mechanical systems and signal processing. 107:396-408 |
| ISSN: | 0888-3270 |
| Popis: | Model-based controllers with adaptive design variables are often used to control an object with time-dependent characteristics. However, the controller’s performance is influenced by many factors such as modeling accuracy and fluctuations in the object’s characteristics. One method to overcome these negative factors is to tune model-based controllers. Herein we propose an online tuning method to maintain control performance for an object that exhibits time-dependent variations. The proposed method employs the poles of the controller as design variables because the poles significantly impact performance. Specifically, we use the simultaneous perturbation stochastic approximation (SPSA) to optimize a model-based controller with multiple design variables. Moreover, a vibration control experiment of an object with time-dependent characteristics as the temperature is varied demonstrates that the proposed method allows adaptive control and stably maintains the closed-loop characteristics. |
| Databáze: | OpenAIRE |
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