Allocation of Actuators and Sensors for Coupled-Adjacent-Building Vibration Attenuation

An actuator and sensor allocation approach is proposed for the design of coupled-adjacent-building vibration suppression under seismic excitation. This paper first establishes a full-order model of adjacent buildings with the location information of actuators and sensors. Then, the order of the model is reduced via modal cost analysis, by retaining the modes contributing the most. In view of the fact that the output powers of the actuators are limited, this paper brings forward a mixed H∞/GH2 control. By considering that not all the states of the system can be measured by the sensors, a dynamic output feedback controller is designed. The genetic algorithm is employed to obtain the locations of the actuators and sensors, as well as the corresponding controller. With the proposed approach, the allocation problem is solved, and the vibration of coupled adjacent buildings is attenuated at a sufficiently low level with constrained acting forces. Simulations demonstrate the effectiveness and robustness of the proposed approach in attenuating building vibration under earthquake excitation.

[1]  Jung-Hwan Kim,et al.  Adaptive elevator group control with cameras , 2001, IEEE Trans. Ind. Electron..

[2]  Y. Uchimura,et al.  Time synchronized wireless sensor network and its application to building vibration measurement , 2007, IECON 2007 - 33rd Annual Conference of the IEEE Industrial Electronics Society.

[3]  Wallace K. S. Tang,et al.  A hybrid genetic approach for garment cutting in the clothing industry , 2003, IEEE Trans. Ind. Electron..

[4]  Ching-Chih Tsai,et al.  Parallel Elite Genetic Algorithm and Its Application to Global Path Planning for Autonomous Robot Navigation , 2011, IEEE Transactions on Industrial Electronics.

[5]  Indra Narayan Kar,et al.  Multimode vibration control of a flexible structure using H/sub /spl infin//-based robust control , 2000 .

[6]  Honghai Liu,et al.  Reliable Fuzzy Control for Active Suspension Systems With Actuator Delay and Fault , 2012, IEEE Transactions on Fuzzy Systems.

[7]  Sergiu-Dan Stan,et al.  A Novel Robust Decentralized Adaptive Fuzzy Control for Swarm Formation of Multiagent Systems , 2012, IEEE Transactions on Industrial Electronics.

[8]  Mo-Yuen Chow,et al.  Optimal Tradeoff Between Performance and Security in Networked Control Systems Based on Coevolutionary Algorithms , 2012, IEEE Transactions on Industrial Electronics.

[9]  Yang Chen,et al.  Finite frequency H∞ control for building under earthquake excitation , 2010 .

[10]  Jianbin Qiu,et al.  A New Design of Delay-Dependent Robust ${\cal H}_{\bm \infty}$ Filtering for Discrete-Time T--S Fuzzy Systems With Time-Varying Delay , 2009, IEEE Transactions on Fuzzy Systems.

[11]  Seung-Yong Ok,et al.  Optimal design of hysteretic dampers connecting adjacent structures using multi-objective genetic algorithm and stochastic linearization method , 2008 .

[12]  P. Hughes,et al.  Modal cost analysis for linear matrix-second-order systems , 1980 .

[13]  Yl L. Xu,et al.  Dynamic response of damper-connected adjacent buildings under earthquake excitation , 1999 .

[14]  James Lam,et al.  Non-fragile output feedback H∞ vehicle suspension control using genetic algorithm , 2003 .

[15]  Zhaoming Qian,et al.  A Robust Control Scheme for Grid-Connected Voltage-Source Inverters , 2011, IEEE Transactions on Industrial Electronics.

[16]  Keizo Nakagawa,et al.  DEVELOPMENT OF ACTIVE-DAMPING BRIDGES AND ITS APPLICATION TO TRIPLE HIGH-RISE BUILDINGS , 2002 .

[17]  Anil K. Chopra,et al.  Dynamics of Structures: Theory and Applications to Earthquake Engineering , 1995 .

[18]  Yoshiki Ikeda ACTIVE AND SEMI-ACTIVE CONTROL OF BUILDINGS IN JAPAN , 2004 .

[19]  Huijun Gao,et al.  Active Suspension Control With Frequency Band Constraints and Actuator Input Delay , 2012, IEEE Transactions on Industrial Electronics.

[20]  Hongping Zhu,et al.  A study on interaction control for seismic response of parallel structures , 2001 .

[21]  George Danezis,et al.  Prying Data out of a Social Network , 2009, 2009 International Conference on Advances in Social Network Analysis and Mining.

[22]  Honghai Liu,et al.  Adaptive Sliding-Mode Control for Nonlinear Active Suspension Vehicle Systems Using T–S Fuzzy Approach , 2013, IEEE Transactions on Industrial Electronics.

[23]  Tomonobu Senjyu,et al.  Gain-Scheduled ${\cal H}_{\infty}$ Control for WECS via LMI Techniques and Parametrically Dependent Feedback Part II: Controller Design and Implementation , 2011, IEEE Transactions on Industrial Electronics.

[24]  H. Du,et al.  H∞ control for buildings with time delay in control via linear matrix inequalities and genetic algorithms , 2008 .

[25]  Erik A. Johnson,et al.  Coupled Building Control Considering the Effects of Building/Connector Configuration , 2006 .

[26]  R. Skelton Cost decomposition of linear systems with application to model reduction , 1980 .

[27]  J. Enrique Luco,et al.  Optimal damping between two adjacent elastic structures , 1998 .

[28]  Rahmi Guclu,et al.  Vibration control of a structure with ATMD against earthquake using fuzzy logic controllers , 2008 .

[29]  Jianbin Qiu,et al.  Improved Delay-Dependent $H_{\infty }$ Filtering Design for Discrete-Time Polytopic Linear Delay Systems , 2008, IEEE Transactions on Circuits and Systems II: Express Briefs.