Active Control of Spatial Structure by GMM Actuator Based on T-S Type Fuzzy Neural Network

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Journal of Vibration and Shock ›› 2015, Vol. 34 ›› Issue (24) : 1-6.

YANG Tao1, WANG Sheliang1, DAI Jianbo2

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Abstract

Based on independent research and development of Giant Magnetostrictive Material (GMM) active control actuator, we designed a Takagi-Sugeno (T-S) fuzzy neural network control system of a spatial structure, in which the input are the relative displacement and relative speed of two nodes at the end of the active-member, and which can calculate the output control current. Taking advantage of the adaptive neural network learning function for fuzzy division and generating fuzzy rules, the spatial structure model could be actively controlled the simulation by using fuzzy reasoning capability under the action of seismic response, and meanwhile compared with the results produced by the simulation of standard fuzzy neural network model. The results demonstrated that both two models can achieve good control effects, but the simulation speed of the T-S fuzzy neural network is far faster than the standard model. Therefore, the T-S fuzzy neural network controller can better meet the needs of engineering applications requirements.

Key words

GMM active control actuator / fuzzy neural network / active control / simulation / spatial structure

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YANG Tao1, WANG Sheliang1, DAI Jianbo2. Active Control of Spatial Structure by GMM Actuator Based on T-S Type Fuzzy Neural Network[J]. Journal of Vibration and Shock, 2015, 34(24): 1-6

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