Artificial neural network for piezoelectric control systems

Jamil M. Bakhashwain; J. Refaee; Mehmet Sunar; M. Mohandes

doi:10.1117/12.350118

4 June 1999 Artificial neural network for piezoelectric control systems

Jamil M. Bakhashwain, J. Refaee, Mehmet Sunar, M. Mohandes

Proceedings Volume 3667, Smart Structures and Materials 1999: Mathematics and Control in Smart Structures; (1999) https://doi.org/10.1117/12.350118
Event: 1999 Symposium on Smart Structures and Materials, 1999, Newport Beach, CA, United States

Abstract

This paper presents a neural network controller for a piezoelectric controlled structure by emulating the control performance of a Linear Quadratic Gaussian (LQG) controller. The configuration of the Artificial Neural Network (ANN) is simple, yet it is efficient in terms of its high learning speed and good generalization ability. A case study is presented to demonstrate the performance of the ANN controller versus the LQG controller. The test results for different disturbances on the structure show excellent agreement between the ANN and LQG controllers.

Citation Download Citation

Jamil M. Bakhashwain, J. Refaee, Mehmet Sunar, and M. Mohandes "Artificial neural network for piezoelectric control systems", Proc. SPIE 3667, Smart Structures and Materials 1999: Mathematics and Control in Smart Structures, (4 June 1999); https://doi.org/10.1117/12.350118

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