Design and real-time implementation of an internal model speed control for an induction motor
Document Type
Conference Item
Publication Date
9-1-2008
Abstract
This paper carries out the design and real time implementation of an Internal Model Controller (IMC) to control the speed of an induction motor and precisely a squirrel cage type. The scheme in this paper is constructed using a model and a controller both being Artificial Neural Network (ANN) based. This ANN-based control scheme has been chosen because of its ability to handle the strong nonlinearities of the induction motor. The performance of the controller is tested by applying different types of input signals as well as load torque disturbances. Whether loaded or unloaded, the proposed internal model controller has proved to achieve high performance and accuracy.
Keywords
ANN, Induction motor speed control, Inverse model, System identification, Artificial neural networks, Control schemes, Input signals, Internal Model controllers, Internal models, Inverse model, Load torques, Real times, Squirrel cages, Strong nonlinearities, AC motors, Backpropagation, Control nonlinearities, Induction motors, Mechatronics, Motors, Neural networks, Random access storage, Real time control, Robotics, Speed, Speed control, Speed regulators
Divisions
fac_eng
Event Title
2008 IEEE International Conference on Robotics, Automation and Mechatronics, RAM 2008
Event Location
Chengdu,China
Event Dates
21 - 24 September 2008
Event Type
conference
Additional Information
ISBN: 978-142441676-9 DOI: 10.1109/RAMECH.2008.4681457