Magneto-rheological damping fuzzy controller design method based on imperialist competition algorithm

Abstract

The invention relates to a magneto-rheological damping fuzzy controller design method based on the imperialist competition algorithm. The design method comprises the steps that the structural response of buildings under the effect of earthquakes serves as the input variable of a fuzzy controller, and the control current output by the fuzzy controller serves as input of a magneto-rheological damper; the magneto-rheological damper outputs damping force to the buildings, and the buildings generate new excitation and output new structural responses to the fuzzy controller; and after the earthquakes stop, the objective function value is calculated, whether the objective function value is convergent or not is judged, and further the optimal parameter of the fuzzy controller is output. According to the invention, an obtained fuzzy control system is optimized through the imperialist competition algorithm, the performance of the magneto-rheological damper is given full play, and the structural response of the buildings under the effect of the earthquakes is effectively weakened.

Description

technical field [0001] The invention relates to the technical field of structure damping control, in particular to a method for designing a magnetorheological damping fuzzy controller based on a colonization competition algorithm. Background technique [0002] In the field of civil engineering, improving the seismic performance of building structures to reduce the impact of dynamic loads such as earthquakes on building structures and components, and at the same time reducing the loss of personnel and property caused by building structure damage during earthquakes is a challenge faced by human beings in fighting earthquake disasters. major issues. The semi-active control has become one of the main development directions of the vibration control of civil engineering structures because of the economy of passive control and the effectiveness of active control. In semi-active control, the semi-active control device based on the magneto-rheological damper has a simple structure, ...

AI Technical Summary

Problems solved by technology

Since it is difficult to establish an accurate model of the restoring force of the magnetorheological damper, these control methods are applied to the control of the magnetorheological damper, and the actual effect is poor

[0007] 2) Optimizing fuzzy controller parameters with evolutionary algorithms is limited by the limitations of the algorithm itself. These algorithms are premature, easy to converge to local optimal solutions, and difficult to deal with and optimize problems with high dimensions. The design of fuzzy controllers remains to be seen. Further improve

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