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In order to produce models for automatic controller tuning, this paper proposes a method that combines a short experiment with a novel scheme for approximating processes using low-order time-delayed models. The method produces models aimed to tune PI and PID controllers, but they could also be used for other model-dependent controllers like MPC. The proposed method has been evaluated in simulations on benchmark processes. It has also been implemented in an industrial controller and tested experimentally on a water-tank process. It is shown that our method is successful in estimating models for a variety of processes such as lag-dominated, delay-dominated, balanced, and integrating processes. We also demonstrate that the experiment time is both shorter and more predictable than currently used autotuners.
|Title of host publication||Proceedings of the 5th IEEE Conference on Control Technologies and Applications (CCTA) 2021|
|Publication status||Accepted/In press - 2021|
|Event||IEEE Conference on Control Technologies and Applications - Online, San Diego, United States|
Duration: 2021 Aug 8 → 2021 Aug 11
|Conference||IEEE Conference on Control Technologies and Applications|
|Period||2021/08/08 → 2021/08/11|
Subject classification (UKÄ)
- Control Engineering
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