Automated Synthesis of Robust QFT-PID Controllers based on Piecewise Linear Approximations
| Autor: | Paluri S. V. Nataraj, Dipesh Makwana |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
0209 industrial biotechnology
Branch and bound Linear programming Computer science PID controller 02 engineering and technology Solver 020901 industrial engineering & automation Quantitative feedback theory Control theory Frequency domain 0202 electrical engineering electronic engineering information engineering Benchmark (computing) 020201 artificial intelligence & image processing Robust control |
| Zdroj: | ICCA |
| DOI: | 10.1109/icca.2018.8444249 |
| Popis: | Quantitative feedback theory (QFT) is a frequency domain based robust control design techniques [1]. In this paper, the piecewise linear approximation based linear programming (PLA-LP) algorithms presented in [6] are extended for automatic synthesis of robust PID controller in the QFT framework. Firstly, the λ-formulations for the parallel or interacting form of the PID controller are derived. Then, the λ-formulations are incorporated into the QFT synthesis algorithm proposed in [6], and solved to global optimality using a mixed-integer programming (MIP) branch and bound solver. The proposed robust QFT-PID synthesis algorithm is demonstrated on two benchmark examples. Compared to existing methods, the PLA-LP based QFT-PID algorithm is faster by a couple of orders of magnitude, and also gives considerable reductions in the controller gain. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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