Identification of an Active Suspension in the Presence of Narrow Band Disturbances
نویسندگان
چکیده
This paper aims to describe a comparative study regarding several identification models and control solutions for an active suspension system, while corrupted by narrow band disturbances. The tested identification models are linear and belong to ARMAX class. Several identification methods were compared in terms of disturbances rejection, both in open and closed loop cases. Beside the Least Squares class of methods, Minimum Prediction Error and Minimum Output Error methods have been investigated as well. The subsequent controller has been designed for the best found models and is either of RST or Q-parameterized class. After several simulations with real data, one has found that models estimated by means of Generalized Closed Loop Output Error (GCLOE) Method are seemingly the best ones.
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