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

  Info
Periodical
Advanced Materials Research (Volumes 317-319)
Chapter
Mechanical Control and Information Processing Technology
Edited by
Xin Chen
Pages
1507-1511
DOI
10.4028/www.scientific.net/AMR.317-319.1507
Citation
T. Sun, Z. Gao, G. H. Xu, "Road Adaptive Suspension Controller Based on Partial-State Feedback Gain Scheduling", Advanced Materials Research, Vols. 317-319, pp. 1507-1511, 2011
Online since
August 2011
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Price
$32.00
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