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Detection of no-model input-output pairs in closed-loop systems
Alain Segundo Potts1, Christiam Segundo Morales Alvarado2, Claudio Garcia2
1Center of Engineering, Modeling and Applied Social Sciences of the Federal University of ABC, SP, Brazil.
ISA Transactions
|September 18, 2017
Summary
This study introduces a novel method for detecting no-model input-output (IO) pairs in closed-loop systems. This advancement enhances system identification and controller performance by efficiently discarding irrelevant data pairs.
Area of Science:
- Control Engineering
- System Identification
Background:
- Detecting no-model input-output (IO) pairs is crucial for efficient multivariable system identification.
- Existing methods primarily address open-loop systems, overlooking the complexities of closed-loop configurations.
Purpose of the Study:
- To adapt and present a modified method for detecting no-model IO pairs specifically in closed-loop systems.
- To improve the quality of identified models and the performance of model-based controllers.
Main Methods:
- Modification of a previously established open-loop detection method.
- Adaptation of the method to account for the influence of controllers in closed-loop systems.
Main Results:
- The proposed method effectively identifies no-model IO pairs in closed-loop scenarios.
- Demonstrated improvement in system identification efficiency and model quality compared to traditional approaches.
Conclusions:
- The developed method offers a significant advancement for system identification in closed-loop configurations.
- Enhanced model accuracy leads to improved performance in model-based control applications.
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