DEVELOPMENT OF INFORMATION TECHNOLOGY FOR OPTIMIZING THE CONTROL OF COMPLEX DYNAMIC SYSTEMS
DOI:
https://doi.org/10.20998/2079-0023.2020.02.11Keywords:
information technology, dynamic system, complex system, information control system, mathematical model, quality index, optimization method, optimization processAbstract
The structure of information technology optimization of complex dynamic systems is developed. The structure includes a block of systems models, a module of integration methods, a block for calculating system quality criteria, a block of optimization methods, a module of data structures and a block for presenting information. A functional model of information technology is presented. The block of systems models contains models of dynamic systems – control objects, regulators, information control systems. This makes it possible to simulate information control systems of NPP power units, a quadrocopter control system, generators of electrical impulses and other dynamic systems. In the module of integration methods, methods for integrating systems of differential equations are collected: the matrix exponential method for integrating linear systems, system methods for integrating nonlinear systems, and other methods. In the block for calculating system quality criteria, programs have been created for calculating various criteria for information control systems: stability of control processes, identification of parameters, direct indexes of the quality of systems, integral quadratic estimates. The block of optimization methods has been developed. This block contains modules of methods of one-dimensional search, multivariate unconditional optimization, global search, genetic algorithms, sum of squares minimization, conditional optimization, vector optimization. To test methods, test function modules are created. These modules include test functions, their databases and testing programs. A module of common data structures has been developed. Global data structures are proposed – the structure of constant data of optimization problems and methods, the structure of the state variables of the optimization process and the structure of functions to coordinate the interaction of optimization methods. The block for presenting information for solving problems allows the optimization process to be presented in the form of tables and graphs.References
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