Abstract
This paper introduces a new method to design a PID controller using a data driven approach for identification. The tuning algorithm is developed within the subspace identification framework, which is used to identify an open loop model from closed-loop data. The PID parameters are calculated by minimising a quadratic performance index over a finite future horizon. The inclusion of a closed-loop condition to guarantee stability results in a constrained nonlinear optimisation problem. The paper includes simulation results for the case of a dissolved oxygen control loop in an activated sludge wastewater treatment plant.
| Original language | English |
|---|---|
| Pages (from-to) | 1143-1148 |
| Number of pages | 6 |
| Journal | IFAC Proceedings Volumes (IFAC-PapersOnline) |
| Volume | 36 |
| Issue number | 16 |
| DOIs | |
| State | Published - 2003 |
| Externally published | Yes |
| Event | 13th IFAC Symposium on System Identification, SYSID 2003 - Rotterdam, Netherlands Duration: 27 Aug 2003 → 29 Aug 2003 |
Keywords
- LQG
- PID control
- subspace identification
- tuning
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