0
Research Papers

Adaptive Fuzzy Sliding Mode Control of MEMS Gyroscope Sensor Using Fuzzy Switching Approach

[+] Author and Article Information
Juntao Fei

Jiangsu Key Laboratory of Power Transmission
and Distribution Equipment Technology,
College of Computer and Information,
Hohai University,
Changzhou 213022, China
e-mail: jtfei@yahoo.com

Mingyuan Xin

Jiangsu Key Laboratory of Power Transmission
and Distribution Equipment Technology,
College of Computer and Information,
Hohai University,
Changzhou 213022, China

Contributed by the Dynamic Systems Division of ASME for publication in the JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT, AND CONTROL. Manuscript received July 20, 2012; final manuscript received August 9, 2014; published online December 10, 2014. Assoc. Editor: May-Win L. Thein.

J. Dyn. Sys., Meas., Control 137(5), 051002 (May 01, 2015) (7 pages) Paper No: DS-12-1229; doi: 10.1115/1.4028812 History: Received July 20, 2012; Revised August 09, 2014; Online December 10, 2014

In this paper, an adaptive fuzzy sliding mode control strategy, which combines the merits of sliding mode control and adaptive fuzzy control, is proposed to control the MEMS gyroscope in the presence of model uncertainties and external disturbances. The adaptive fuzzy systems are employed to approximate both the equivalent control term and the sliding mode controller. Then the switching control becomes continuous and the chattering phenomena can be attenuated. The adaptation laws based on the Lyapunov analysis can adaptively adjust the fuzzy rules to guarantee the asymptotical stability of the adaptive fuzzy closed-loop control system. Numerical simulations are investigated to verify the effectiveness of the proposed adaptive fuzzy control schemes.

FIGURES IN THIS ARTICLE
<>
Copyright © 2015 by ASME
Your Session has timed out. Please sign back in to continue.

References

Park, R., Horowitz, R., Hong, S., and Nam, Y., 2007, “Trajectory-Switching Algorithm for a MEMS Gyroscope,” IEEE Trans. Instrum. Meas., 56(60), pp. 2561–2569. [CrossRef]
Fei, J., 2010, “Robust Adaptive Vibration Tracking Control for a MEMS Vibratory Gyroscope With Bound Estimation,” IET Control Theory Appl., 4(6), pp. 1019–1026. [CrossRef]
Batur, C., and Sreeramreddy, T., 2006, “Sliding Mode Control of a Simulated MEMS Gyroscope,” ISA Trans., 45(1), pp. 99–108. [CrossRef] [PubMed]
Lian, J., Zhang, F., and Shi, P., 2012, “Sliding Mode Control of Uncertain Stochastic Hybrid Delay Systems With Average Dwell Time,” Circuits Syst. Signal Process., 31(2), pp. 539–553. [CrossRef]
Wang, D., Wang, J., and Wang, W., 2013, “H-Infinity Controller Design of Networked Control Systems With Markov Packet Dropouts,” IEEE Trans. Syst. Man Cybern., 43(3), pp. 689–697. [CrossRef]
Fei, J., and Ding, H., 2012, “Robust Adaptive Neural Sliding Mode Approach for Tracking Control of a MEMS Triaxial Gyroscope,” Int. J. Adv. Rob. Syst., 9(24), pp. 1–8. [CrossRef]
Sadati, N., and Ghadami, R., 2008, “Adaptive Multi-Model Sliding Mode Control of Robotic Manipulators Using Soft Computing,” Neurocomputing, 71(2), pp. 2702–2710. [CrossRef]
Lee, M., and Choi, Y., 2004, “An Adaptive Neucontroller Using RBFN for Robot Manipulators,” IEEE Trans. Ind. Electron., 51(3), pp. 711–717. [CrossRef]
Yao, B., 2003, “Integrated Direct/Indirect Adaptive Robust Control of SISO Nonlinear Systems in Semi-Strict Feedback Form,” Proceedings of 2003 American Control Conference, Denver, CO, June 4–6, pp. 3020–3025. [CrossRef]
Wang, L., 1994, Adaptive Fuzzy Systems and Control-Design and Stability Analysis, Prentice Hall, NJ.
Guo, Y., and Woo, P., 2003, “An Adaptive Fuzzy Sliding Mode Controller for Robotic Manipulators,” IEEE Trans. Syst. Man Cybern., Part A, 33(2), pp. 149–159. [CrossRef]
Fei, J., and Zhou, J., 2012, “Robust Adaptive Control of MEMS Triaxial Gyroscope Using Fuzzy Compensator,” IEEE Trans. Syst. Man Cybern. Part B,42(6), pp. 1599–1607. [CrossRef]
Wai, R., 2007, “Fuzzy Sliding-Mode Control Using Adaptive Tuning Technique,” IEEE Trans. Ind. Electron., 54(1), pp. 586–594. [CrossRef]
Chen, B., Liu, X., and Tong, S., 2007, “Adaptive Fuzzy Output Tracking Control of MIMO Nonlinear Uncertain Systems,” IEEE Trans. Fuzzy Syst., 15(2), pp. 287–300. [CrossRef]
Ho, T., and Ahn, K., 2011, “Speed Control of a Hydraulic Pressure Coupling Drive Using an Adaptive Fuzzy Sliding-Mode Control,” IEEE/ASME Trans. Mechatron., 16(1), pp. 1–11. [CrossRef]
Chen, X., and Hisayama, T., 2008, “Adaptive Sliding-Mode Position Control for Piezo-Actuated Stage,” IEEE Trans. Ind. Electron., 55(11), pp. 3927–3934. [CrossRef]
Sung, W., and Lee, Y., 2009, “On the Mode-Matched Control of MEMS Vibratory Gyroscope via Phase-Domain Analysis and Design,” IEEE/ASME Trans. Mechatron., 14(4), pp. 446–455. [CrossRef]
Wang, J., Rad, A., and Chan, P., 2001, “Indirect Adaptive Fuzzy Sliding Mode Control: Part1: Fuzzy Switching,” Fuzzy Sets Syst., 122, pp. 21–30. [CrossRef]
Tao, C., Taur, J., Chang, J., and Su, J., 2010, “Adaptive Fuzzy Switched Swing-Up and Sliding Control for the Double-Pendulum-and-Cart System,” IEEE Trans. Syst. Man Cybern. Part B, 40(1), pp. 241–252. [CrossRef]
Rubaai, A., Jerry, J., and Smith, S., 2011, “Performance Evaluation of Fuzzy Switching Position Controller for Automation and Process Industry Control,” IEEE Trans. Ind. Appl., 47(5), pp. 2274–2282. [CrossRef]

Figures

Grahic Jump Location
Fig. 1

Schematic structure of a z-axis MEMS gyroscope in x–y plane

Grahic Jump Location
Fig. 2

Block diagram of adaptive fuzzy sliding mode control system

Grahic Jump Location
Fig. 3

Position tracking using conventional sliding mode control

Grahic Jump Location
Fig. 4

Tracking error using conventional sliding mode control

Grahic Jump Location
Fig. 5

Sliding surface s using conventional sliding mode control

Grahic Jump Location
Fig. 6

Control efforts using conventional sliding mode control

Grahic Jump Location
Fig. 7

Position tracking using adaptive fuzzy sliding mode control

Grahic Jump Location
Fig. 8

Tracking error using adaptive fuzzy sliding mode control

Grahic Jump Location
Fig. 9

Sliding surface s using adaptive fuzzy sliding mode control

Grahic Jump Location
Fig. 10

Control efforts using adaptive fuzzy sliding mode control

Grahic Jump Location
Fig. 11

Position tracking using conventional sliding mode control under large disturbance

Grahic Jump Location
Fig. 12

Position tracking using adaptive fuzzy sliding mode control under large disturbance

Tables

Errata

Discussions

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related Journal Articles
Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In