Mathematical models with analytical properties are needed to create modern stabilization systems for various objects and technical systems. This is due to the fact that most of the existing methods for the synthesis of automatic systems are based on mathematical transformations of models of control objects. However, for complex objects and systems, these models are obtained experimentally. Moreover, the experimental data are approximated by various well-known methods. If the dependences are essentially nonlinear in nature, they are approximated by sections. Such a fragmented model as a whole is not analytical, which excludes the use of many well-known methods for the synthesis of nonlinear stabilization systems. In these cases, it is advisable to use the new Cut-Glue approximation method developed at DSTU, which allows one to obtain an analytical model of an object from piecewise approximations. This analytical model allows you to apply the analytical method for the design of quasilinear control systems for nonlinear objects. In this paper the propoused approach is illustrated by example of the design of a nonlinear system for stabilizing the flight altitude of an airship.
Keywords: stabilization system, analytical synthesis, nonlinear control object, mathematical model, quasilinear form, experimental data, fragmentary model, multiplicatively additive approximation
The article proposes an algorithm for the functioning of adaptive motion control systems of a group of mobile transport robots in conditions of uncertainty. The algorithm was developed based on the Markov method of identification and the method of analytical synthesis of systems with control by output and effects. The adaptive control system in which this algorithm is used has direct quality indicators not worse than those specified. The proposed algorithm can be used to create control systems for technical objects of various types, with previously unknown mathematical models.
Keywords: mobile robot, group, uncertainty, identification, Markov parameter, control by output and effects, system
In this paper we propose an approach to the implementation of the automatic control system of autonomous unmanned surface vessels on the example of a surface mini-ship "Neptune". Synthesized autopilot algorithms based on the theory of control of dynamic objects, developed by prof. Pshihopovym. A program of mathematical modeling. simulation results, which confirm the correctness of the proposed algorithms.
Keywords: autopilot, surface ship, mathematical modeling
In this paper we propose an approach to the implementation of the automatic control system of autonomous unmanned surface vessels on the example of a surface mini-ship "Neptune". Synthesized autopilot algorithms based on the theory of control of dynamic objects, developed by prof. Pshihopovym. A program of mathematical modeling. simulation results, which confirm the correctness of the proposed algorithms.
Keywords: autopilot, surface ship, mathematical modeling