Road Adaptive Suspension Controller Based on Partial-State Feedback Gain Scheduling

Article Preview

Abstract:

A new control algorithm combing Reduced-order observer, LQG and Fuzzy Logic Controller (RLFLC) is proposed to compromise the classical suspension conflict between riding comfort and driving safety. The RLFLC optimizes the weights of the performance indexes on line in accordance with variational suspension deflection and body acceleration to schedule the gain of LQG controller dynamically for achieving multiple control objectives. In particular, a reduced-order observer is introduced to estimate some state variables which are difficult to measure. Compared with the passive suspension and the conventional LQG control system, the simulation results show that RLFLC can be adaptive to vehicle speed and road conditions to improve not only the riding comfort at low speeds, but also driving safety at high speeds without violating the given suspension deflection limit

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 317-319)

Pages:

1507-1511

Citation:

Online since:

August 2011

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2011 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Wan Gang, Qin Ming. Current Status of The Car Suspension Technology and Its Development Trend. Shanghai Auto, No.7, pp: 26~29, 2004.

Google Scholar

[2] Yu Zhi-sheng. Theory of Automobile. China machine press, Beijing, 2006.

Google Scholar

[3] Yu, F., Zhang J-W and Crolla, D.A. (2000). A study of a kalman filter active vehicle suspension system using correlation of front and rear wheel road inputs. Int. J. of Automobile Engineering, 214, 493-502.

DOI: 10.1243/0954407001527781

Google Scholar

[4] Seung-Bok Choi, Dong-Won Park. Fuzzy Sky-Ground Hook Control of a Tracked Vehicle Featuring Semi-Active Electrorheological Suspension Units. Journal of Dynamic Systems, Measurement, and Control, vol.124, no.1, pp: 150~157, 2002.

DOI: 10.1115/1.1434266

Google Scholar

[5] Jian Bo-lu, A Frequency-Adaptive-Multi-Objective Suspension Control Strategy. ASME Journal of Dynamic Systems, Measurement, and Control, vol. 126, no.3, pp: 700~707, 2004.

DOI: 10.1115/1.1789979

Google Scholar

[6] A. G. Ulsoy, D. Hrovat and T. Tseng, Stability Robustness of LQ and LQG. Active Suspensions. Journal of Dynamic Systems, Measurement, and Control, Vol.116, No.1, pp: 123~131, 1994.

DOI: 10.1115/1.2900666

Google Scholar

[7] V. Peterka, Adaptation of LQG Control Design to Engineering Needs. Springer Berlin /Heidelberg, vol. 158, pp:1~20, 1991.

Google Scholar

[8] Guido Koch, Klaus J.Diepold. Multi-Objective Road Adaptive Control of an Active Suspension System. Motion and Vibration Control, pp: 189~200, 2009.

DOI: 10.1007/978-1-4020-9438-5_19

Google Scholar