|
|||||
|
|
Robust adaptive speed regulator with self-tuning law for surfaced-mounted permanent magnet synchronous motor |
|
| Affiliation: | 1. School of Computer Science, China University of Geosciences, Wuhan 430074, China;2. Hubei Key Laboratory of Intelligent Geo-Information Processing, China University of Geosciences, Wuhan 430074, China;3. Mechatronics, Embedded Systems and Automation Lab, University of California, Merced, CA 95343, USA;1. Department of Biology, Faculty of Science, Mahasarakham University, Kantharawichai District, Maha Sarakham 44150, Thailand;2. Walai Rukhavej Botanical Research Institute, Mahasarakham University, Kantharawichai District, Maha Sarakham 44150, Thailand |
| Abstract: | This study exhibits a self-tuning speed control scheme for the surface-mounted permanent magnet synchronous motor (SPMSM) against the parameter variations through the multivariable approach. The proposed method has two novelties. The first one is to combine the adaptive controller with the self-tuning algorithm so as to make the decay ratio of the tracking errors higher in the transient period. The second one is to provide a systematical way to find a robust stabilizing control gain corresponding the speed and current tracking errors by solving an optimization problem. The efficacy of the proposed method was experimentally investigated using a 3-kW SPMSM. |
| Keywords: | PMSM Robust speed tracking control Self-tuning algorithm Parametric uncertainty Stability |
| 本文献已被 ScienceDirect 等数据库收录！ | |