Optimization And Application Of Control Algorithm Based On Magnetorheological Damping Structure

Magnetorheological Fluid Dampers is a kind of new damping device which have the advantages of simple structure, small volume, low energy consumption, damping force adjustable and have a broad application prospect in civil engineering. Although the fuzzy control is an adaptable control method for the structures with magnetorheological fluid dampers, the design of fuzzy control is easily affected by human subjectivity so that it becomes imperfect and affects control effectiveness. Therefore, it has important practical significance for the research of control algorithm about structure with magnetorheological fluid dampers.In this paper, a detailed description of the design and mechanical performance testing process of magnetorheological fluid dampers, and researched the optimization and applications of control algorithm about structure with magnetorheological fluid dampers. The main research contents include the following aspects:(1) The design process of the maximum output of twenty kilonewton shear valve type magnetorheological fluid dampers are detailed from the four aspects of material selection, geometry size, magnetic circuit design and the main structure parameters. And through the mechanics performance test of the damper, which are not only the characteristics of the hysteretic curve of force-displacement and force-velocity of the damper are analyzed, but also the change rule of between the damping force and the load current, frequency, amplitude are studyed.(2) Two new control algorithm are proposed in which fuzzy control rules are respectively optimized by genetic algorithm and particle swarm algorithm. A three-story reinforced concrete structure with magnetorheological fluid dampers is studied by numerical simulation, the results show that the optimized fuzzy control by genetic algorithm and the optimized fuzzy control by particle swarm algorithm may evidently improve the control effectiveness on displacement and acceleration responses at the top of the structure.(3) A eleven-story frame reinforced concrete structure is studied by numerical simulation, and both the displacements and accelerations at the floors of the structure without the control, with the fuzzy control, with the optimized fuzzy control by genetic algorithm and with the optimized fuzzy control by particle swarm algorithm are analyzed under the actions of frequet and rare earthquakes.the results show that the fuzzy control,the optimized fuzzy control by genetic algorithm and the optimized fuzzy control by particle swarm algorithm may evidently improve the control effectiveness on displacement and acceleration responses at the floors of the structure, compared with the structure without control. And the damping effect of the optimized fuzzy control is better than the fuzzy control as the design of human experiences.(4) A method based on the improved genetic algorithm and the equivalent quadratic performance index is presented to optimize the placements of magnetorheological fluid dampers. The eleven-story frame reinforced concrete structure is studied by numerical simulation, and both the displacements and accelerations at the floors of the structure without the control, with the performance index incremental to optimize the placements of magnetorheological fluid dampers, with the improved genetic algorithm and the equivalent quadratic performance index to optimize the placements of magnetorheological fluid dampers are analyzed under the actions earthquakes. The results show that the improved genetic algorithm and the equivalent quadratic performance index to optimize the placements of magnetorheological fluid dampers is more reasonable and effective, compared with the performance index incremental to optimize the placements of magnetorheological fluid dampers.