Extended Identification-Based Predictive Control for adaptive impact mitigation

• Autorzy: Graczykowski Cezary , Faraj Rami

Identyfikatory

DOI

10.24425/bpasts.2023.145937

• Języki publikacji: EN

Abstrakty

EN

The paper introduces Extended Identification-Based Predictive Control (EIPC), which is a novel control method developed for the problem of adaptive impact mitigation. The model-based approach utilizing the paradigm of Model Predictive Control is combined with sequential identification of selected system parameters and process disturbances. The elaborated method is implemented in the shock-absorber control system and tested under impact loading conditions. The presented numerical study proves the successful and efficient adaptation of the absorber to unknown excitation conditions as well as to unknown force and leakage disturbances appearing during the process. The EIPC is used for both semi-active and active control of the impact mitigation process, which are compared in detail. In addition, the influence of selected control parameters and disturbance identification on the efficiency of the impact absorption process is assessed. As a result, it can be concluded that an efficient and robust control method was developed and successfully applied to the problem of adaptive impact mitigation.

Słowa kluczowe

EN

adaptive control; optimal control; predictive control; impact mitigation; shock absorber

PL

sterowanie adaptacyjne; optymalna kontrola; kontrola predykcyjna; łagodzenie skutków; amortyzator

• Wydawca: Polska Akademia Nauk, Wydział IV Nauk Technicznych
• Czasopismo: Bulletin of the Polish Academy of Sciences. Technical Sciences
• Rocznik: 2023
• Tom: Vol. 71, nr 4
• Strony: art. no. e145937
• Opis fizyczny: Bibliogr. 30 poz., rys., tab.

Twórcy

autor

Graczykowski Cezary

• Institute of Fundamental Technological Research PAS, Pawińskiego 5B, 02-106 Warszawa, Poland

• https://orcid.org/0000-0001-6917-148X

autor

Faraj Rami

• Institute of Fundamental Technological Research PAS, Pawińskiego 5B, 02-106 Warszawa, Poland

• https://orcid.org/0000-0001-7604-0090

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).