Abstract
The article considers the parametric optimization method for the control system with PID controller modifications, which allows reducing the control system synthesis error due to the plant accurate description in the time domain. When describing the plant model in the control system, the convolution integral is used. For parametric optimization, an integral quality indicator is substantiated, which takes into account the technological process features. It is shown that the digital control system synthesis according to the proposed quality criterion belongs to the one-extremal optimization problems. The proposed method and mathematical models are recommended to be used at the supervisory control systems level as an adviser for setting up and adapting control system. The analysis of PID controller modifications influence on the transient processes quality in control system was carried out. Numerical simulation confirmed the proposed control system optimization method effectiveness. The developed method significant advantage is the digital controller parametric optimization possibility without stage of identifying plant. The proposed mathematical support can be successfully used for the automatic control systems synthesis with controllers’ different types.
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Golinko, I., Galytska, I. (2022). Parametric Optimization of Time-Domain Digital Control System. In: Hu, Z., Dychka, I., Petoukhov, S., He, M. (eds) Advances in Computer Science for Engineering and Education. ICCSEEA 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 134. Springer, Cham. https://doi.org/10.1007/978-3-031-04812-8_5
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