engleski

Optimal Covariance Control Theory in Automotive Suspension Control System Design

The main motivation for use Optimal Constrained Covariance Control Theory (OC3) is that many real control performance requirements are often expressed in terms of the upper bounds on the steady-state variances. The classical LQG approach is impractical, because there is not physical (cause and effect) sense of weighting matrices Q and R (free design parameters). Thus, a very difficult iterative design process must be used to determine the necessary limitations on controlled variables and optimal control performance criterion. These disadvantages of the classical optimal control technique are avoided by proposed OC3 control design technique. The use of active suspension on road vehicles has been considered for many years. A large number of different arrangements from semi-active to fully active schemes have been investigated. There has also been interest in characterizing the degrees of freedom and constraints involved in active suspension design. In this plenary lecture, an active suspension system for a quarter car body using the optimal covariance control design technique will be presented.

intelligent transport systems, automotive suspension, covariance control

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