Dynamic neural controllers for induction motor
- 1 March 1999
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Neural Networks
- Vol. 10 (2) , 340-355
- https://doi.org/10.1109/72.750564
Abstract
The paper reports application of recently developed adaptive control techniques based on neural networks to the induction motor control. This case study represents one of the more difficult control problems due to the complex, nonlinear, and time-varying dynamics of the motor and unavailability of full-state measurements. A partial solution is first presented based on a single input-single output (SISO) algorithm employing static multilayer perceptron (MLP) networks. A novel technique is subsequently described which is based on a recurrent neural network employed as a dynamical model of the plant. Recent stability results for this algorithm are reported. The technique is applied to multiinput-multioutput (MIMO) control of the motor. A simulation study of both methods is presented. It is argued that appropriately structured recurrent neural networks can provide conveniently parameterized dynamic models for many nonlinear systems for use in adaptive control.Keywords
This publication has 23 references indexed in Scilit:
- Control of nonlinear dynamical systems using neural networks. II. Observability, identification, and controlIEEE Transactions on Neural Networks, 1996
- Nonlinear system identification using neural state space models, applicable to robust control designInternational Journal of Control, 1995
- Approximation of discrete-time state-space trajectories using dynamic recurrent neural networksIEEE Transactions on Automatic Control, 1995
- Adaptive control of a class of nonlinear discrete-time systems using neural networksIEEE Transactions on Automatic Control, 1995
- Memory neuron networks for identification and control of dynamical systemsIEEE Transactions on Neural Networks, 1994
- Control of nonlinear dynamical systems using neural networks: controllability and stabilizationIEEE Transactions on Neural Networks, 1993
- Adaptive input-output linearizing control of induction motorsIEEE Transactions on Automatic Control, 1993
- Gradient methods for the optimization of dynamical systems containing neural networksIEEE Transactions on Neural Networks, 1991
- Identification and control of dynamical systems using neural networksIEEE Transactions on Neural Networks, 1990
- On the approximate realization of continuous mappings by neural networksNeural Networks, 1989