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Synthesis of a closed-loop combined plant and controller model
1Lab. LIP, Ecole Normale Superieure de Lyon.
Summary
This study introduces a novel combined model using Petri nets (PN) and formal language theory for analyzing controlled systems. This approach enhances efficiency and accuracy in system analysis and controller verification.
Area of Science:
- Control Systems Engineering
- Computer Science
- Formal Methods
Background:
- Controlled systems comprise plant and controller entities, linked via feedback for closed-loop behavior.
- Traditional system analysis through simulation is resource-intensive and time-consuming.
- Existing methods lack integrated approaches for combined plant and controller modeling.
Purpose of the Study:
- To develop an efficient and accurate method for analyzing controlled systems.
- To synthesize a unified model integrating plant and controller components.
- To leverage Petri nets and Formal Language Theory for improved system analysis.
Main Methods:
- Synthesized a combined plant and controller model.
- Integrated Petri nets (PN) with supervisory controller design from Formal Language Theory.
- Developed a unified PN model representing closed-loop system behavior.
Main Results:
- The combined PN model effectively represents the controlled closed-loop system.
- The model facilitates functional and performance analysis.
- Enables controller verification and control code generation.
Conclusions:
- The proposed method offers a cost-effective and time-efficient alternative to traditional simulations.
- The unified PN model enhances the analysis and design of controlled systems.
- This approach supports automated verification and code generation for controllers.
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