Performance Comparison of Controllers for Suppressing the Structural Building Vibration

This paper presents the modelling and simulation of controllers for controlling the position of two degree of freedom (2 DOF) mass spring damper system. Proportional integral (PI), fuzzy logic controller (FLC) and sliding mode controller (SMC) are design to minimize the vibration of the system that represent as building structure towards earthquake. A structural building is simulate based on real earthquake occur in El Centro on May 1940. The algorithm for building structure, actuator and controller is derived. Matlab/Simulink is used to analyze the performance of controllers towards the vibration building structure. At the end of the study the time response for two story building for uncontrolled and controlled system is present. Besides, the result for limitation voltage for each controller is also analyse to determine the maximum voltage consume for the system. The simulation results show the comparison of the controllers’ performance in suppressing the building vibration. From performance analysis, SMC provides better performance compared to PI and FLC based on structural vibration reduction.

[1]  James T. P. Yao,et al.  CONCEPT OF STRUCTURAL CONTROL , 1972 .

[2]  Rini Akmeliawati,et al.  Vibration control of two-mass rotary system using improved NCTF controller for positioning systems , 2010, 2010 IEEE Control and System Graduate Research Colloquium (ICSGRC 2010).

[3]  Jun Sun,et al.  Vehicle dynamics control based on sliding mode control technology , 2009, 2009 Chinese Control and Decision Conference.

[4]  T. T. Soong,et al.  Active, semi-active and hybrid control of structures , 2000 .

[5]  Rahmi Guclu,et al.  Sliding mode and PID control of a structural system against earthquake , 2006, Math. Comput. Model..

[6]  Rahmi Guclu Fuzzy Logic Control of Vibrations of Analytical Multi-Degree-of- Freedom Structural Systems , 2003 .

[7]  Xiaoou Li,et al.  Stable Active Vibration Control System for Building Structures using PD/PID Control , 2014 .

[8]  Herbert Martins Gomes,et al.  Fuzzy logic for structural system control , 2012 .

[9]  Manu Sharma,et al.  Fuzzy logic based vibration control of a single degree of freedom system , 2014, 2014 Recent Advances in Engineering and Computational Sciences (RAECS).

[10]  Wen Yu,et al.  Advances in modeling and vibration control of building structures , 2013, Annu. Rev. Control..

[11]  Kazuo Tamura,et al.  Active/passive vibration control systems for tall buildings , 1998 .

[12]  Abayomi Omishore,et al.  Fuzzy Sets and Structural Engineering , 2006 .

[13]  M. Ali Lotfollahi Yaghin,et al.  Vibration control of Multi Degree of Freedom structure under earthquake excitation with TMD control and active control force using fuzzy logic method at the highest and the lowest story of the building , 2013 .

[14]  Jingjun Zhang,et al.  Active Vibration Control for Smart Structure Base on the Fuzzy Logic , 2008, 2008 Second International Symposium on Intelligent Information Technology Application.

[15]  R. Cabeza,et al.  Present and Future , 2008 .

[16]  N. Selvaganesan,et al.  Dynamic analysis and sliding mode vibration control for a two storeyed flexible building structure , 2015, 2015 International Conference on Control Communication & Computing India (ICCC).

[17]  Fitri Yakub,et al.  Enhancing vehicle ride comfort through intelligent based control , 2016, 2016 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS).

[18]  Henry Nasution,et al.  DEVELOPMENT OF FUZZY LOGIC CONTROL FOR VEHICLE AIR CONDITIONING SYSTEM , 2008 .