Dynamic System Design via Multicriteria Optimization

Dynamic system design is formulated as a multicriteria optimization problem. The dynamic behavior of dynamic systems is described by nonlinear differential equations of motion found from the multibody system approach. Parameters of the multibody system serve as design variables in order to optimize the system with respect to its dynamic behavior which is evaluated by multiple integral type objective functions. Multicriteria optimization strategies are used to reduce the design problem to nonlinear programming problems. The gradients required for optimization are found from a semi-analytical sensitivity analysis. Problems resulting from an application of conventional optimization strategies to a vehicle design problem are discussed.