A hybrid fuzzy predictive controller for structural systems: Adaptive identification, stable scheme, and experimental validation

This study presents an intelligent controller for active mass driver (AMD) systems to overcome adverse vibrations of buildings under external excitation. First, a basic pole placement controller (PP) is applied, then closed-loop dynamics are modeled by the generalized type-2 (GT2) fuzzy systems (FSs). By the identified model a predictive fuzzy controller is designed. The stability is analyzed under perturbations, uncertainties, and actuator nonlinearities. The suggested scheme is adaptive and it is online updated to overcome the effect of natural disturbances. Through both simulation and experimental studies the capability of the suggested technique is examined. The results indicate the proposed controller can achieve better control performance, and it can solve the disadvantage of classical controllers that rely on structural parameters. Experimental studies validate the applicability of the controller in practice real-world situations (see the attached video). The analyzing results show that the proposed controller enhances control accuracy by 13% compared to the basic controllers, and reduces structural displacement by 1.2 mm.