PRINCIPLES, ALGORITHMS AND RESULTS OF EFFECTIVENESS INCREASE OF THE SELF-TUNING AUTOMATIC CONTROL SYSTEM WITH THE CONTROL OBJECT OF TECHNOLOGICAL TYPE
DOI:
https://doi.org/10.15588/1607-3274-2017-2-19Keywords:
Self-tuning ACS, transition coefficient, own motion, band pass filter, optimal parametric synthesisAbstract
Context. The issue of self-tuning was and still remains relevant when controlling objects of technological type, because changing properties of raw materials and energy carriers, equipment degradation during technological process do change not only the values of the controlled variables, but also the nature of own motion of the automatic control systems (ACS) in the closed loop. In the mathematical models such impacts attribute to parametric disturbances and reflect them including with changing transition coefficient of the control object (CO). For a number of technological type CO the range of its change can exceed the value of ten. For all that typical ACS with constant controller parameters loose the stability in small and turn to position mode. To maintain a compromise between quality indicators and the processes stability in ACS of such CO, it is necessary to use self-tuning of controller parameters.
Objective. Increase of effectiveness in self-tuning automatic control system, which uses own part of motion to identify varying transitioncoefficient of the control object.
Method. The enhancements of principles and operating algorithms of self-tuning automatic control system (STACS) are proposed. They increase its stability and dynamic accuracy. To achieve this, new links and connections are inserted in the system. Taking into account the presence of non-linear and non-stationary links in the system, for its research the modeling in Simulink environment of the MatLab program package was chosen.
Results. Computer experiments with the models of alternative system structures were planned and carried out for the conditions, which are close to the real conditions of its operation. Testing with the typical models of CO transition coefficient change was carried out. The diagrams and numeric values, which characterize the effectiveness of STACS of initial and enhanced structures, were obtained.
Conclusions. To increase the stability and dynamic accuracy of the system, it is necessary to decrease the lag of its self-tuning loop, influence of filtered variables phase shifts in this circuit on forming the evaluations of the stochastic characteristics, as well as control object transition coefficient influence on the control error of the self-tuning loop.
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