Abstract
Second-order nonlinear trajectory smoother is coupled with conventional cascade control for the position control of linear switched reluctance motor (LSRM) to reduce output ripples. Force and position to phase current conversion based on neural network is implemented for the modeling of the nonlinear magnetic behaviour of LSRM. The reference currents generated are used by the inner current control loop. Load observer is also introduced to tackle unknown disturbances and change of system parameters. The proposed control scheme guarantees robustness against change of system parameter and load disturbances. Simulation studies are included to demonstrate the effectiveness of the proposed control scheme.
Original language | English |
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Pages (from-to) | 151-158 |
Number of pages | 8 |
Journal | International Journal of Modelling and Simulation |
Volume | 26 |
Issue number | 2 |
Publication status | Published - 3 Jul 2006 |
Keywords
- Cascade control
- Linear switched reluctance motor
- Trajectory smoother
ASJC Scopus subject areas
- Software
- Modelling and Simulation
- Mechanics of Materials
- Hardware and Architecture
- Electrical and Electronic Engineering