An Optimal Self-Tuning Controller for an Active Suspension |
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| Authors: | F. Yu D.A. Crolla |
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| Affiliation: | a National Automobile Dynamic Simulation Lab, Jilin University of Technology, Changchun, Chinab Department of Mechanical Engineering, The University of Leeds, Leeds, UK |
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| Abstract: | An optimal self-tuning control algorithm is presented for vehicle suspension design. The controller, incorporating a weighting controller, state observer and parameter estimator, is designed according to linear optimal control (LQG) theory. Based on the updated estimates of vehicle parameters and states, and the adapted weighting parameters, the LQG controller provides the optimal set of gains over different operating conditions. The feasibility and effectiveness of the proposed self-tuning system was investigated and proved by simulation studies. |
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