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Study of Semiactive Suspension Control Strategy Based on an Identification Model
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    Abstract:

    This paper proposed a simple identification model by applying genetic algorithm to identify the model parameters on the basis of the quarter car model built in ADAMS. So its characteristics are closer to those of a real suspension than those of a simple model with normal parameters. Then the characteristics of some control methods with skyhook damper were analyzed, and a hybrid control strategy optimized by means of immune algorithm was proposed. Simulation results have indicated that hybrid control can effectively improve passive suspension performance, and under certain index, it can offer more benefits to suspension performance than skyhook control and groundhook control. Moreover, the proposed method is simple and feasible and has some practical value in engineering.

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