Fuzzy control of an electrodynamic shaker for automotive and aerospace vibration testing

A fuzzy logic based digital time domain sinusoidal acceleration waveform amplitude controller for an electrodynamic shaker is presented. The purpose of Fuzzy Logic Control (FLC) is to reproduce a pre-defined sinusoidal acceleration amplitude profile (in amplitude, frequency and time) at the shaker table. Sinusoidal vibration profiles (sine and logarithmic sine sweep) are considered for a controlled vibration generation in typical automotive and aerospace testing. The difficulty in sine sweep testing is that the non-rigid load dynamics are unknown and it can severely modify the shaker's performance during sweep test. Since a logarithmic frequency sweep is normally used, a controller needs to be robust to un-modeled dynamics and also fast enough to hold the desired acceleration amplitude within predefined limits throughout the sweep test. The controller structure is developed based on the usual power amplifier technology. The control action is implemented on a waveform-by-waveform basis and a FLC is developed in the LabVIEW environment on a PXI platform for real time control of the shaker. To attenuate the shaker suspension mode resonance a compensator based on electromechanical model of the shaker is designed and cascaded to FLC. The shaker model, suspension mode compensator design, FLC synthesis and experimental implementation results are presented in this paper.

[1]  Masayuki Fujita,et al.  Robust control of electrodynamic shaker with 2dof control using H∞ filter , 2009 .

[2]  Guanrong Chen,et al.  Fuzzy PID controller: Design, performance evaluation, and stability analysis , 2000, Inf. Sci..

[3]  G. Lang,et al.  Understanding the physics of electrodynamic shaker performance , 2001 .

[4]  George Fox Lang Electrodynamic shaker fundamentals , 1997 .

[5]  Henk B. Verbruggen,et al.  Intelligent Control: Theory and Applications , 1992 .

[6]  Tore Hägglund,et al.  The future of PID control , 2000 .

[7]  Horia Balan,et al.  Computational aspects of electrodynamic vibrators , 1994, Proceedings of MELECON '94. Mediterranean Electrotechnical Conference.

[8]  Han-Xiong Li A comparative design and tuning for conventional fuzzy control , 1997, IEEE Trans. Syst. Man Cybern. Part B.

[9]  H. R. Bolton,et al.  Analysis and design of electromagnetic moving coil vibration generators , 1993 .

[10]  Chang-Ming Liaw,et al.  Random vibration test control of inverter-fed electrodynamic shaker , 2002, IEEE Trans. Ind. Electron..

[11]  Chang-Ming Liaw,et al.  Vibration acceleration control of an inverter-fed electrodynamic shaker , 1999 .

[12]  Kevin M. Passino,et al.  A case study in intelligent vs. conventional control for a process control experiment , 1998 .

[13]  Chuen-Chien Lee,et al.  Fuzzy logic in control systems: fuzzy logic controller. II , 1990, IEEE Trans. Syst. Man Cybern..

[14]  Arpita Sinha,et al.  Analytical structure and stability analysis of a fuzzy PID controller , 2008, Appl. Soft Comput..

[15]  Tony Keller On the use of tracking filters during sine vibration testing , 2002 .

[16]  Kim-Fung Man,et al.  An optimal fuzzy PID controller , 2001, IEEE Trans. Ind. Electron..

[17]  Paulo Sergio Varoto,et al.  Vibration Testing: Theory and Practice , 1995 .

[18]  Chuen-Chien Lee FUZZY LOGIC CONTROL SYSTEMS: FUZZY LOGIC CONTROLLER - PART I , 1990 .

[19]  F. S. Smith,et al.  Selecting inference and defuzzification techniques for fuzzy logic control , 1998 .

[20]  Hilton Abilio Grundling,et al.  Time domain sinusoidal acceleration controller for an electrodynamic shaker , 2008 .

[21]  K.M. Passino,et al.  Bridging the gap between conventional and intelligent control , 1993, IEEE Control Systems.

[22]  Barry W. Williams,et al.  Analysis and control of a moving coil electrodynamic actuator , 1993, Proceedings of IECON '93 - 19th Annual Conference of IEEE Industrial Electronics.

[23]  Niu Baoliang,et al.  A FFT-based variety-sampling-rate sine-sweep vibration controller , 2003, International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003.

[24]  Hilton Abilio Grundling,et al.  Acceleration Control of an Inverter-Fed Electrodynamic Shaker , 2006 .

[25]  Yun Li,et al.  PID control system analysis, design, and technology , 2005, IEEE Transactions on Control Systems Technology.

[26]  P. Pivonka Comparative analysis of fuzzy PI/PD/PID controller based on classical PID controller approach , 2002, 2002 IEEE World Congress on Computational Intelligence. 2002 IEEE International Conference on Fuzzy Systems. FUZZ-IEEE'02. Proceedings (Cat. No.02CH37291).