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Analytical design and analysis of mismatched Smith predictor
1Department of Automation, Shanghai Jiaotong University, Shanghai, PR China. dzhang@ail.sjtu.edu.cn
ISA Transactions
|May 23, 2001
Summary
A new analytical design method simplifies the mismatched Smith predictor using internal model control (IMC). This approach allows easy adjustment of closed-loop system response and ensures robust stability for improved performance in mismatched systems.
Area of Science:
- Control Engineering
- Systems Theory
- Process Control
Background:
- Smith predictors are crucial for systems with time delays.
- Mismatched systems present challenges for traditional control designs.
- Internal Model Control (IMC) offers a robust framework for controller design.
Purpose of the Study:
- To develop an analytical design method for mismatched Smith predictors.
- To simplify the design procedure and enhance controller performance.
- To provide conditions for robust stability in the presence of model mismatch.
Main Methods:
- Utilizing the Internal Model Control (IMC) framework.
- Developing analytical design formulas for the Smith predictor.
- Investigating the relationship between controller parameters and system response.
Main Results:
- A simplified and analytical design procedure for mismatched Smith predictors.
- Demonstration of easy adjustment of closed-loop system response.
- Identification of necessary and sufficient conditions for robust stability.
- Validation of improved performance for mismatched systems via numerical examples.
Conclusions:
- The proposed method offers a systematic approach to designing Smith predictors for mismatched systems.
- The method facilitates straightforward tuning of system dynamics.
- It ensures robust stability and superior performance compared to existing methods.