Synthesis of Robust Control by Unmanned Moving Plants with Elastic Elements under Non-Gaussian Disturbances

Abstract

In this paper we consider the possibility to improve the control accuracy for unmanned moving plants and to reduce the sensitivity of the control system to the uncertainty of models of non-gaussian disturbances and to the uncertainty of distributed-parameter plant based on multicriteria synthesis of stochastic robust control. Mathematical models of distributed-parameter plants for unmanned moving plants with plant parametric uncertainty and under non-gaussian disturbances are developed. The synthesis of robust control by distributed-parameter plants unmanned moving plants under non-gaussian disturbances is reduced to the four related Riccati equations solution. The results of modeling of the dynamic characteristics of a synthesized distributed-parameter plant robust control systems for unmanned moving plants under non-gaussian disturbances are presented. It is shown opportunity to improve the control accuracy parameters and to reduce the sensitivity to the uncertainty of models of random external disturbances and to the uncertainty of parameters of plant in comparison with the existing system for control by distributed-parameter plant for unmanned moving plants under non-gaussian disturbances using synthesized stochastic robust controllers.