Published March 29, 2019 | Version v1
Journal article Open

EXPERIMENTAL INVESTIGATIONS OF THE METHOD OF DETERMINATION OF OPTIMAL CONTROLLER SETTINGS

Creators

  • 1. East Ukrainian National University named after Vladimir Dal

Description

A method for finding the optimal PID controller settings is proposed, which takes into account all the shortcomings of the most common engineering methods for finding controller settings. The method is characterized by: simplicity and versatility, which allows determining the optimal controller settings for one iteration; highly accurate identification of the control object, taking into account its nonlinearity, does not require an active experiment, provides improved dynamic properties of systems.

Tuning parameters of controllers are found by the proposed method of finding the optimal settings of the controller and the most common engineering methods for finding the settings of controllers for ACS control objects in the production of nitric acid. In addition to the examples given, a number of control objects with varying degrees of oscillation and inertia are investigated. A comparative analysis of the proposed method with the most common engineering methods for finding controller settings for ACS control objects in the production of nitric acid is performed. The analysis shows that the controller parameters found by the proposed method significantly improve the dynamic properties of the system (the overshoot decreased by 10 times, the regulation time decreased by about 30 %, the static and dynamic errors decreased by 2–3 times).

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References

  • Ananiev, M. V., Tselishchev, O. B., Loriya, M. H., Yelisieiev, P. Y. (2010). Optymalne nastroiuvannia rehuliatora za kvadratychnoiu optymizatsiynoiu funktsieiu. Visnyk Skhidnoukrainskoho natsionalnoho universytetu imeni Volodymyra Dalia, 6, 134–141.
  • Ananiev, M. V., Tselishchev, O. B., Loriya, M. H., Yelisieiev, P. Y., Yerokhina, O. V. (2010). Identyfikatsiya obiektiv keruvannia. Vymiriuvalna ta obchysliuvalna tekhnika v tekhnolohichnykh protsesakh, 2 (36), 178–181.
  • Ananiev, M. V., Tselishchev, O. B., Loriya, M. H., Yelisieiev, P. Y. (2011). Aproksymatsiya perekhidnoi funktsiyi obiekta keruvannia lankoiu druhoho poriadku. Vymiriuvalna ta obchysliuvalna tekhnika v tekhnolohichnykh protsesakh, 2, 209–213.
  • Karakawa, K., Abe, N., Ichihara, H. (2002). Joint design method of closed-loop identification and IMC structure for temperature control system with time delay. Proceedings of the 41st SICE Annual Conference. SICE 2002. doi: https://doi.org/10.1109/sice.2002.1196548
  • Sоderstrоm, T., Stoica, P. (2002). Instrumental variable methods for system identification. Circuits, Systems, and Signal Processing, 21 (1), 1–9. doi: https://doi.org/10.1007/bf01211647
  • Astrom, K. J., Hang, C. C., Lim, B. C. (1994). A new Smith predictor for controlling a process with an integrator and long dead-time. IEEE Transactions on Automatic Control, 39 (2), 343–345. doi: https://doi.org/10.1109/9.272329
  • Hongdong, Z., Ruixia, L., Huihe, S. (2004). Control for integrating processes based on new modified smith predictor. Control 2004, University of Bath.
  • Kealy, T., O'Dwyer, A. (2002). Comparison of Open- and Closed-loop Process Identification Techniques In The Time-Domain. Proceedings of the 3rd Wismarer Automatisierungssymposium. Wismar.
  • Mamat, R., Fleming, P. J. (1995). Method for on-line identification of a first order plus dead-time process model. Electronics Letters, 31 (15), 1297–1298. doi: https://doi.org/10.1049/el:19950865
  • Verhaegen, M., Verdult, V. (2012). Filtering and System Identification: A Least Squares Approach. Cambridge University Press, 422.