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Abstrakty
The study aims to explore the application of the Model Mismatch Strategy (MMS) to improve the speed control accuracy of a prototype rotarod apparatus (RRA), a device used to assess motor coordination in laboratory rodents. Two test scenarios were prepared: one taking into account the step change in setpoint and the other one which considered robustness to load disturbances. The control performance was assessed using Integral Absolute Error and Integral Square Error. The proposed MMS method significantly improved the accuracy and stability of the rotational speed control. Testing results showed control performance improvements of up to 15%. The MMS provides a novel approach to control system optimisation in preclinical research equipment, ensuring that experimental results using the RRA are more consistent and replicable.
Wydawca
Rocznik
Tom
Strony
10--19
Opis fizyczny
Bibliogr. 23 poz., fig., tab.
Twórcy
autor
- Institute of Mechanical Engineering, Warsaw University of Life Sciences, ul. Nowoursynowska 166, 02-787 Warsaw, Poland
autor
- Faculty of Electrical and Computer Engineering, Cracow University of Technology, ul. Warszawska 24, 31-155 Krakow, Poland
autor
- Faculty of Electrical and Computer Engineering, Cracow University of Technology, ul. Warszawska 24, 31-155 Krakow, Poland
autor
- Faculty of Electrical and Computer Engineering, Cracow University of Technology, ul. Warszawska 24, 31-155 Krakow, Poland
autor
- Institute of Mechanical Engineering, Warsaw University of Life Sciences, ul. Nowoursynowska 166, 02-787 Warsaw, Poland
autor
- Department of Pharmacodynamics, Chair of Pharmacodynamics, Jagiellonian University Medical College, ul. Medyczna 9, 30-688 Krakow, Poland
Bibliografia
- 1. Åström K J and Hägglund T. The future of PID control. Control Engineering Practice 2001; 9: 1163–75.
- 2. Desborough L and Miller R. Increasing Customer value of industrial control performance monitoring - Honeywell’s experience. AIChE Symposium Series 2002; 98.
- 3. Li Y, Ang K H and Chong G C Y. Patents, software, and hardware for PID control: an overview and analysis of the current art. IEEE Control Systems Magazine 2006; 26: 42–54.
- 4. Pawlowski A, Schiavo M and Visioli A. A PID-based structure for MISO approach to anaesthesia control problem. IFAC-PapersOnLine 2024; 58: 240–5.
- 5. Hägglund T and Guzmán J L. Give us PID controllers and we can control the world. IFAC-PapersOnLine 2024; 58: 103–8.
- 6. Hägglund T. The one-third rule for PI controller tuning. Computers & Chemical Engineering 2019; 127: 25–30.
- 7. Awtoniuk M, Sałat R, Worwa M and Reshetiuk V. Implementation of PID autotuning procedure based on doublet-pulse method in PLC controller. Adv. Sci. Technol. Res. J. 2024; 18: 89–97.
- 8. O’Dwyer A. Handbook of PI and PID Controller Tuning Rules 2009. (Published by Imperial College Press and distributed by World Scientific Publishing Co.)
- 9. Botelho V R, Trierweiler J O, Farenzena M and Duraiski R. Assessment of model-plant mismatch by the nominal sensitivity function for unconstrained MPC. IFAC-PapersOnLine 2015; 48: 753–8.
- 10. Shi Y, Yuan Y, Luo B, Li F, Xu X and Yang C. Data-driven plant–model mismatch detection for closed-loop LPV system based on instrumental variable using sum-of-norms regularization. IEEE Transactions on Instrumentation and Measurement 2024; 73: 1–12.
- 11. Lu Y, Huang K, Wang B, Lai C and Feng G. Data-driven modeling and compensation strategy of PMSM considering core loss and saturation. IEEE Journal of Emerging and Selected Topics in Power Electronics 2024; 12: 1894–905.
- 12. Shende D R and Simon A. Implementation and performance evaluation of a model predictive controller for a semi-autogenous grinding mill. Adv. Sci. Technol. Res. J. 2024; 18: 257–69.
- 13. Tufa L D and Ka C Z. Effect of model plant mismatch on MPC performance and mismatch threshold determination. Procedia Engineering 2016; 148: 1008–14.
- 14. Dunham N W and Miya T S. A note on a simple apparatus for detecting neurological deficit in rats and mice. J Am Pharm Assoc Am Pharm Assoc 1957; 46: 208–9.
- 15. Sałat K, Furgała A and Sałat R. Interventional and preventive effects of aripiprazole and ceftriaxone used alone or in combination on oxaliplatin-induced tactile and cold allodynia in mice. Biomedicine & Pharmacotherapy 2019; 111: 882–90.
- 16. Sałat K, Gawlik K, Witalis J, Pawlica-Gosiewska D, Filipek B, Solnica B, Więckowski K and Malawska B. Evaluation of antinociceptive and antioxidant properties of 3-[4-(3-trifluoromethyl-phenyl)-piperazin-1-yl]-dihydrofuran-2-one in mice. Naunyn-Schmiedeberg’s Archives of Pharmacology 2013; 386: 493.
- 17. Knez D, Diez-Iriepa D, Chioua M, Gottinger A, Denic M, Chantegreil F, Nachon F, Brazzolotto X, Skrzypczak-Wiercioch A, Meden A, Pišlar A, Kos J, Žakelj S, Stojan J, Sałat K, Serrano J, Fernández A P, Sánchez-García A, Martínez-Mu-rillo R, Binda C, López-Muñoz F, Gobec S and Marco-Contelles J. 8-Hydroxyquinolylnitrones as multifunctional ligands for the therapy of neurodegenerative diseases. Acta Pharmaceutica Sinica B 2023; 13: 2152–75.
- 18. Tangirala A K. Principles of system identification: theory and practice. Boca Raton: CRC Press 2015.
- 19. Cohen G H and Coon G A. Theoretical consideration of retarded control. Journal of Fluids Engineering 1953; 75: 827–34.
- 20. Kula K S. Tuning a PI/PID controller with direct synthesis to obtain a non-oscillatory response of time-delayed systems. Applied Sciences 2024; 14: 5468.
- 21. Aström K J and Hägglund T. Advanced PID Control. Research Triangle Park, NC: International Society of Automation 2005.
- 22. Skogestad S. Simple analytic rules for model reduction and PID controller tuning. Journal of Process Control 2003; 13: 291–309.
- 23. Berner J, Hägglund T and Åström K J. Asymmetric relay autotuning – Practical features for industrial use. Control Engineering Practice 2016; 54: 231–45.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki (2025).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-364fdaf0-fa80-41e1-9aa9-36e3f479dd58
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