Active control of spatial structure based on GMM actuator and T-S type fuzzy neural network

Based on independently developed Giant Magnetostrictive Material (GMM) active control actuator, a Takagi-Sugeno (T-S) fuzzy neural network control system of a spatial structure was designed, in which the relative displacement and relative speed of two nodes at the end of the active-member were taken as inputs, and the output control current was calculated by the network. Taking advantage of the adaptive neural network learning function to achieve the fuzzy division and to generate fuzzy rules, an active control simulation of the spatial structure model under the action of seismic response by using the fuzzy reasoning capability, was carried out and the results were compared with the results produced by the simulation of a corresponding standard fuzzy neural network model. The results demonstrate that both the 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 application requirements. © 2015, Chinese Vibration Engineering Society. All right reserved.