PREDICTION AND OPTIMIZATION OF PROCESSES OF DESIGN MANAGEMENT OF COMPLEX TECHNICAL SYSTEMS IN REAL TIME 

Grishko Aleksey Konstantinovich, candidate of technical sciences, associate professor, sub-department of radio equipment design and production, Penza State University (440026, 40 Krasnaya street, Penza, Russia), alexey-grishko@rambler.ru
Lysenko Aleksey Vladimirovich, candidate of technical sciences, associate professor, sub-department of radio equipment design and production, Penza State University (440026, 40 Krasnaya street, Penza, Russia), lysenko_av@bk.ru
Moiseyev Sergey Aleksandrovich, postgraduate student, Penza State University (440026, 40 Krasnaya street, Penza, Russia), kipra@pnzgu.ru

519.7; 681.5

10.21685/2307-4205-2018-1-5 

Background. Designing high-tech products is often seen as a multicriteria synthesis of a complex system, when simultaneous improvement of all indicators of the quality of the system is impossible, and the design criteria themselves are usually mutually exclusive. In addition, all real management problems are subject to various types of constraints, which are an inevitable part of the formulation of a common problem because the system works near them. Complex tasks of the analysis of the projected designs on compliance to technical requirements, as a rule, are solved at its final stages. Therefore, it is important to be able to predict the behavior of a complex system and at the same time take into account the constraints arising in its process in the early stages of design to make an optimal structural decision. This will reduce the time spent on the development of complex technical systems. The aim of the work is to offer a way to optimize the management of complex technical systems design processes.
Materials and methods. The article deals with the control algorithm based on the application of the optimal control theory using an approach with expanding conditions. Results. The paper describes the procedure of control optimization, a distinctive feature of which is that as a result of its application will be formed the control law, which has a stationary feedback, as well as characterized by a systematic account of all restrictions on the implementation of a complex system.
Conclusions. The proposed predictive control algorithm will be widely used in control systems operating at the boundaries of operating modes. The main advantages of the algorithm are the ability to assess the state of the system in real time and predict future States, as well as the ability to optimize in real time the future trajectory of the control system subject to restrictions.

complex technical system, predictive control, design constraints