A Self-structuring Adaptive Fuzzy Control Scheme for Non-affine Nonlinear Systems used in Smart Structures

The Hong Kong Polytechnic University
Publication Type:
Conference Proceeding
Proceedings of the 6th International Conference on Structural Health Monitoring of Intelligent Infrastructure, SHMII-6, 2013, pp. 415 - 415
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This paper presents an adaptive fuzzy control scheme for non-affine nonlinear multi-input multi-output smart structure systems. From an initial fuzzy system with a small number of rules, the self-structuring algorithm can add on membership functions and rules when needed. To limit the size of the system, the self-structuring algorithm replaces old membership functions with new ones and the number of rules is kept within a predefined upper bound. The proposed control scheme is applied to buildings that are subject to external excitations- in this case an earthquake. This structure is equipped with vibration suppression devices using current-controlled magneto-rheological dampers to surmount the energy of external excitations, which turns itself into a smart structure. Here, the encountered non-affine nonlinear dynamics is dealt with the proposed self-structuring adaptive fuzzy controller.
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