Fuzzy control of a semi-active multiple degree-of-freedom vibration isolation system

Semi-active isolation systems fill the gap between passive and active systems, delivering the versatility and adaptability of fully active systems, by expending a small amount of energy to change system parameters such as stiffness and damping. Magnetic suspension vibration isolation provides an excellent active isolation technology, and has shown useful characteristics including noncontact isolation, fast response, high reliability and long lifespan. However, because it is highly nonlinear and time variant, the control of magnetic suspension vibration isolation is an area that still requires further exploration. This paper presents a fuzzy control algorithm for a semi-active multi-degree-of-freedom vibration system. The fuzzy control is based on the minimization of the weighted sum of squared output forces. The output force response of the fuzzy, PID control semi-active vibration isolation system and passive system under the same excitation are simulated. The simulation results show that the fuzzy control system has much better performance in vibration isolation. An experimental platform is developed to test the performance of the magnetic suspension vibration isolation system and the proposed fuzzy control algorithm. The experimental results are found to be in good agreement with simulation.

[1]  Hiroshi Matsuhisa,et al.  Semi-active vibration isolation system with variable stiffness and damping control , 2008 .

[2]  Li Yan-de.  Design and Performance Research of New-Style and High-Powered Counter-Force Actuator of Electromagnetic Drive , 2006 .

[3]  M. Takasaki,et al.  Vibration isolation system combining zero-power magnetic suspension with springs , 2007 .

[4]  Zhou Zude.  Semi-active fuzzy control for a floating raft isolation system with magnetic suspension supporting , 2009 .

[5]  Mooyoung Jung,et al.  a Hybrid-Type Active Vibration Isolation System Using Neural Networks , 1996 .

[6]  Xiaoping Liu,et al.  Parameter identification and vibration control in Modular manipulators , 2004, IEEE/ASME Transactions on Mechatronics.

[7]  Kyihwan Park,et al.  A voice coil actuator driven active vibration isolation system with the consideration of flexible modes. , 2008, The Review of scientific instruments.

[8]  A. K. Mallik,et al.  PERFORMANCE CHARACTERISTICS OF A VIBRATION ISOLATOR WITH ELECTRO-RHEOLOGICAL FLUIDS , 1999 .

[9]  Xiaoping Liu,et al.  Active Vibration Control of a Modular Robot Combining a Back-Propagation Neural Network with a Genetic Algorithm , 2005 .

[10]  Bo-Ha Lee,et al.  Model based feed-forward control of electromagnetic type active control engine mount system = 전자석 구동형 능동 엔진 마운트의 모델 기반 제어 , 2009 .

[11]  M. F. Golnaraghi,et al.  A Novel Semi-active Magnetorheological Bushing Design for Variable Displacement Engines , 2008 .

[12]  S. Sivanandam,et al.  Introduction to Fuzzy Logic using MATLAB , 2006 .

[13]  Md.E. Hoque,et al.  Development of a three-axis active vibration isolator using zero-power control , 2006, IEEE/ASME Transactions on Mechatronics.

[14]  Michael J. Brennan,et al.  A comparison of semi-active damping control strategies for vibration isolation of harmonic disturbances , 2005 .

[15]  Søren Nielsen,et al.  Semi-active control of shallow cables with magnetorheological dampers under harmonic axial support motion , 2008 .

[16]  D. Owens,et al.  ACTIVE VIBRATION ISOLATION IN A “SMART SPRING” MOUNT USING A REPETITIVE CONTROL APPROACH , 2005 .

[17]  Kyihwan Park,et al.  An Active Vibration Isolation System Using a Loop Shaping Control Technique , 2008, 2008 IEEE/ASME International Conference on Mechtronic and Embedded Systems and Applications.

[18]  Kyihwan Park,et al.  Magnetic force driven six degree-of-freedom active vibration isolation system using a phase compensated velocity sensor. , 2009, The Review of scientific instruments.

[19]  S. E. Semercigil,et al.  A VARIABLE DAMPING TUNED ABSORBER WITH ELECTRO-RHEOLOGICAL FLUID FOR TRANSIENT RESONANCE OF LIGHT STRUCTURES , 2001 .

[20]  Yangmin Li,et al.  A general dynamics and control model of a class of multi-DOF manipulators for active vibration control , 2011 .

[21]  S. Narayanan,et al.  Optimal semi-active preview control response of a half car vehicle model with magnetorheological damper , 2009 .

[22]  Kuan-Wen Chen,et al.  Intelligent active vibration control in an isolation platform , 2008 .

[23]  Kefu Liu,et al.  A tunable high-static–low-dynamic stiffness vibration isolator , 2010 .

[24]  Kyihwan Park,et al.  Design and control of six degree-of-freedom active vibration isolation table. , 2010, The Review of scientific instruments.

[25]  F. A. Johnson,et al.  Active vibration control for marine applications , 2004 .

[26]  Yangmin Li,et al.  Modeling and Control Analysis of a 3-PUPU Dual Compliant Parallel Manipulator for Micro Positioning and Active Vibration Isolation , 2012 .

[27]  Faryar Jabbari,et al.  Optimal Performance of Variable Stiffness Devices for Structural , 2007 .

[28]  Ming-Chang Shih,et al.  Active control of electro-rheological fluid embedded pneumatic vibration isolator , 2008, Integr. Comput. Aided Eng..

[29]  Keshav P. Dahal,et al.  Intelligent Learning Algorithms for Active Vibration Control , 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).