Abstract
The method of multiobjective parametric synthesis of nonlinear robust electromechanical servo systems with parametric uncertainty is developed. Matrices of the gain coefficients of the linear feedbacks state regulator and the linear observer are determined on the basis of the vector minimax nonlinear programming problem solution. Components of the vector goal function are the direct quality indicators that are presented to the system in different modes of operation. Vector minimax nonlinear programming problem solution based on stochastic multi-agent multi swarm optimization algorithm. The results of modeling and experimental research of the dynamic characteristics of a synthesized nonlinear electromechanical servo system are presented.
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