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

摘要：

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 εcompleteness 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.

关键词： Generalized Dynamic Fuzzy Neural Network GM(1,1) Model Grey Prediction Load Simutator Servo System

作者: Li WANG Linfang QIAN Qi GUO

作者单位: School of Mechanical Engineering, Nanjing University of Science and Technology, 210094, China Military Representative Office of the General Armament Department in Wuhan Area, 430073, China

会议类型: 国际会议

会议名称: 2011 International Conference on Machanical Engineering,Materials and Energy(2011年机械工程、材料与能源国际会议 ICMEME 2011)

会议地点: 大连

会议语种:英文

页码: 707-712

在线出版日期: 2011-10-19（万方平台首次上网日期，不代表论文的发表时间）