Torque Control of Servo Load Simulator with Generalized Dynamic Fuzzy Neural Network Based on Grey Prediction

Abstract:

Considering the testing requirements of dynamically loaded about servo system in weapons, a load simulator is presented in this paper and the transfer function of “extraneous torque" is obtained. In order to curb the amplitude of extra torque and achieve dynamic load simulation, this paper proposes a grey prediction-based fuzzy neural network controller, which selects Generalized Dynamic Fuzzy Neural Network as the learning algorithm and selects the ε-completeness as a criterion to determine the width of Gaussian functions. Simulation and experimental results show that the proposed torque controller can significantly reduce the amplitude of the extra torque.

• Periodical: Applied Mechanics and Materials (Volumes 148-149)
• Pages: 707-712
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.148-149.707
• Online since: December 2011
• Authors: Li Wang, Lin Fang Qian, Qi Guo
• Keywords: Generalized Dynamic Fuzzy Neural Network, GM(1,1) Model, Grey Prediction, Load Simulator, Servo-System

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