Safe Active Learning and Safe Bayesian Optimization for Tuning a PI-Controller
Sign Up to like & getrecommendations! Published in 2017 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2017.08.1258
Abstract: Abstract In the combustion engine calibration domain, many controllers are still tuned manually or using simple adjustment laws. In order to increase workforce efficiency, automated methods for controller tuning are desirable. Often, the structure of… read more here.
Keywords: active learning; system; optimization; controller ... See more keywords
Auto-Tuning Controller Using MLPSO With K-Means Clustering and Adaptive Learning Strategy for PMSM Drives
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3150777
Abstract: This paper proposes a new online auto-tuning method to improve the accuracy and reduce the tuning time of permanent magnet synchronous motor (PMSM) drives. Under varying loads, the ability to tune the controllers of PMSM… read more here.
Keywords: pmsm drives; tuning controller; method; mlpso means ... See more keywords
Computationally Efficient Self-Tuning Controller for DC–DC Switch Mode Power Converters Based on Partial Update Kalman Filter
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Power Electronics"
DOI: 10.1109/tpel.2017.2768618
Abstract: In this paper, a partial update Kalman Filter (PUKF) is presented for the real-time parameter estimation of a dc–dc switch mode power converter. The proposed estimation algorithm is based on a novel combination between the… read more here.
Keywords: self tuning; kalman filter; power; controller ... See more keywords