Building Structure And Control System Parallel Design Study

With the development of the technology of computer and the theory of control, structure control, as a new research direction, has attracted many researchers to devote their attention to it. The structure control in architecture comes of the development of the automatic control theory, but it exceeds the automatic control problem in other fields not only in theoretical analyses, but also in engineering realization. In the recent years, the method of the concurrent design between structure and control system of architecture becomes a new research focus and some parallel algorithms are brought forward one after the other, but all of these algorithms have their shortage. The study on the method of the concurrent design between structure and control system of architecture in this paper is just based on these algorithms.Firstly, based on the existing theory of structure design and control system design of architecture, the opposite-unitized relationship between the structure design and the control system design is studied in detail. Secondly, the integration of the structure design and the control system design is achieved, at the same time, based on Linear Matrix Inequality (LMI), a parallel algorithm, which is used to solve the optimal problem under stochastic activation to get the minimum of control energy under the restraint of the system response (displacement, speed and accelerated speed are included) by changing the value of structure parameters, is presented to combine the structure and control of architecture to design simultaneously. This algorithm overcomes the deficiency of present methods in two aspects: (1) By introducing the mass matrix into optimal variable, the method broad the range of the optimization;(2) To solve the optimal problem with nonconvex constraint induced by control in structure, convexifying potential function is used to make the nonconvex constraint part to be convex, that reduce the complex of the algorithm greatly. Thirdly, a simple example is given to demonstrate the process of the algorithm;subsequently the results of sensitivity and stability analyses prove that the parallel algorithm is stable under the mean of Lyapumov. Finally the results of the simulation in time domain prove the feasibility and availability of the parallel algorithm.