Parametrical optimization of systems of automatic control: new criteria of an optimality
Journal: Automation of technological and business processes (Vol.6, No. 4)Publication Date: 2014-12-24
Authors : Yegorov V.B.;
Page : 43-52
Keywords : System of automatic control; parametrical optimization; criterion of an optimality; robastnost the systems; stability destabilizing factors.;
Abstract
Systems of automatic control at their operation are affected by considerable number of the destabilizing factors. Specific conditions of system of automatic control (SAС) work define quantity and range of change of these factors. The destabilizing factors can be united in five groups generally: climatic, mechanical, loading, changes in a power supply system, other external factors and essential indignations on raw materials. As a result of the performed parametrical optimization at the fixed and variable values of management object parameters on integrally square, considering the size of course speed of transition process indicator of quality and on an indicator of quality, integrated from stability, the corresponding sets of values of parameters of the regulator for the elementary SAC were received. In work check of work of system of automatic control on a robustness with conditional dispersion of parameters of object of management +/-30% for a set of values of the regulator parameters received as a result of optimization at the fixed of management object parameters and conditional dispersion of management object parameters +/-40% for a set of values of the regulator parameters received as a result of optimization at variable parameters of management object is executed. As a result of the specified check on a robustness, big stability of work of SAC with values of the parameters of the regulator received as a result of optimization on a new quality indicator, integrated from stability, was revealed considerably. Also in work is offered the new combined type of an integrated assessment in which restriction is imposed not only at a size of a deviation and on deviation speed, but also on stability deviation degree, which use allows to consider by parametrical optimization of SAC stability of a controlled variable change process, without endowing thus considerably the dynamic accuracy of SAC work.
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