论文信息 - Hybrid Adaptive Observer for a Brushless DC Motor

Hybrid Adaptive Observer for a Brushless DC Motor

Abstract In this paper a novel hybrid adaptive observer for Brushless DC Motors (BLDCM) is presented. It uses two current measurements of BLDCM phases to estimate the angle and the speed of the rotor. The observer is designed on the basis of a hybrid model, which is also presented in this paper. The parameters of the observer are found using an off-line optimization approach. The observer is practically implementable and verified off-line against real measurements.

Jan Dimon Bendtsen | Carsten Skovmose Kallesøe | Thomas Porchez | Piotr Niemczyk

[1] P. Vadstrup,et al. Parameter identification of induction motors using differential evolution , 2003, The 2003 Congress on Evolutionary Computation, 2003. CEC '03..

[2] Scott D. Sudhoff,et al. Analysis of Electric Machinery and Drive Systems , 1995 .

[3] Jan Dimon Bendtsen,et al. A Reusable Software Architecture for Small Satellite AOCS Systems , 2006 .

[4] Hans-Paul Schwefel,et al. Evolution strategies – A comprehensive introduction , 2002, Natural Computing.

[5] Konrad Urbanski,et al. Adaptive observer of rotor speed and position for PMSM sensorless control system , 2004 .

[6] Gerulf K. M. Pedersen,et al. Towards Automatic Controller Desing using Multi-Objective Evolutionary Algorithms , 2005 .

[7] Jan Dimon Bendtsen,et al. A Hybrid Model of a Brushless DC Motor , 2007, 2007 IEEE International Conference on Control Applications.

[8] Yuhui Qiu,et al. Multimodal Function Optimizing by a New Hybrid Nonlinear Simplex Search and Particle Swarm Algorithm , 2005, ECML.