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E-raamat: Active Structural Control with Stable Fuzzy PID Techniques

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This book presents a detailed discussion of intelligent techniques to measure the displacement of buildings when they are subjected to vibration. It shows how these techniques are used to control active devices that can reduce vibration 6080% more effectively than widely used passive anti-seismic systems.





After introducing various structural control devices and building-modeling and active structural control methods, the authors propose offset cancellation and high-pass filtering techniques to solve some common problems of building-displacement measurement using accelerometers. The most popular control algorithms in industrial settings, PD/PID controllers, are then analyzed and then combined with fuzzy compensation. The stability of this combination is proven with standard weight-training algorithms. These conditions provide explicit methods for selecting PD/PID controllers. Finally, fuzzy-logic and sliding-mode control are applied to the control of wind-induced vibration. Themethods described are supported by reports of experimental studies on a two-story building prototype.





This book is a valuable resource for academic researchers interested in the effects of control and mechatronic devices within buildings, or those studying the principles of vibration reduction. Practicing engineers working on the design and construction of any sort of high-rise or vulnerable building and concerned with the effects of either wind or seismic disturbances benefit from the efficacy of the methods proposed.
1 Introduction
1(4)
References
3(2)
2 Active Structural Control
5(36)
2.1 Introduction
5(2)
2.2 Modeling of Building Structures
7(10)
2.2.1 Models of Building Structures
7(4)
2.2.2 Estimation and Sensing of Structure Parameters
11(6)
2.3 Structural Control Devices
17(11)
2.3.1 Base Isolators
18(1)
2.3.2 Passive Devices
18(3)
2.3.3 Active Devices
21(1)
2.3.4 Semi-active Devices
22(3)
2.3.5 Hybrid Devices
25(3)
2.4 Active Structural Control Techniques
28(13)
2.4.1 Linear Control of Building Structures
28(2)
2.4.2 Intelligent Control of Building Structures
30(6)
References
36(5)
3 Position and Velocity Estimation
41(16)
3.1 Numerical Integrator for Accelerometers
42(2)
3.2 Novel Numerical Integrator
44(6)
3.2.1 Offset Cancellation Filter
46(2)
3.2.2 High-Pass Filtering for Drift Attenuation
48(2)
3.3 Experimental Results
50(7)
3.3.1 Linear Servo Actuator
51(2)
3.3.2 Shaking Table
53(2)
References
55(2)
4 Stable PID Active Control of Building Structures
57(22)
4.1 Stable PD Control
59(3)
4.2 Stable PID Control
62(6)
4.3 Simulations and Experimental Results
68(11)
4.3.1 Numerical Simulations
68(2)
4.3.2 Experimental Results
70(7)
References
77(2)
5 Fuzzy PID Control of Building Structures
79(26)
5.1 Control of Building Structures
80(1)
5.2 PD Controller with Fuzzy Compensation
81(6)
5.3 PID Controller with Fuzzy Compensation
87(8)
5.4 Experimental Results
95(10)
References
103(2)
6 Fuzzy Sliding Mode Control for Wind-Induced Vibration
105(18)
6.1 Control of Wind-Induced Vibration of High-Rise Buildings
107(2)
6.2 Sliding Mode Control with Fuzzy Sliding Surface
109(4)
6.3 Fuzzy Sliding Mode Control with Adaptive Gain
113(2)
6.4 Experimental Results
115(8)
References
121(2)
7 Conclusions
123
Wen Yu received the B.S. degree from Tsinghua University, Beijing, China in 1990 and the M.S. and Ph.D. degrees, both in Electrical Engineering, from Northeastern University, Shenyang, China, in 1992 and 1995, respectively. From 1995 to 1996, he served as a Lecturer in the Department of Automatic Control at Northeastern University, Shenyang, China. In 1996, he joined CINVESTAV-IPN, Mexico, where he is currently a professor in the Departamento de Control Automatico. He held research positions with the Instituto Mexicano del Petroleo from 2002 to 2003. He was a senior visiting research fellow at Queens University Belfast from 2006 to 2007, a visiting associate professor at University of California Santa Cruz from 2009 to 2010. He also holds a visiting professorship at Northeastern University in China from 2006 until now. Dr.Wen Yu serves as an associate editor of Neurocomputing, and Journal of Intelligent and Fuzzy Systems. He is a member of Mexican Academy of Science.