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Utilizing linear quadratic regulator and model predictive control for optimizing the suspension of a quarter car vehicle in response to road excitation

Bajrami Xhevahir, Shala Ahmet, Likaj Rame, Krasniqi Drin, Shala Erjon

Journal of Theoretical and Applied Mechanics

2025

Vol. 63 nr 1

75--89

Vehicle suspension systems are fundamental components designed to mitigate the adverse effects of road surface irregularities. These systems are typically categorized as passive, semi-active, or active suspensions. This study focuses on a quarter car suspension model to explore the application of two control methods, the Linear Quadratic Regulator (LQR) and the Model Predictive Control (MPC). Experimental data are collected using the Quanser active suspension experiment setup. Initially, the LQR controller is employed to optimize performance criteria related to the system state and input signals. Subsequently, the widely recognized MPC approach is used as an alternative control method. A comprehensive comparative analysis is conducted, taking into account various load conditions and parameter variations. Additionally, the study investigates system responses under varying road conditions, changes in plant characteristics, and the introduction of disturbances, to provide an exhaustive comparison of the two control methods. The results obtained with the MPC and the comparison with the findings of various authors to date allow us to emphasize that the presented results in this study significantly outperform the previous work. These outcomes have undergone rigorous validation on the physical model available in our mechatronics laboratory.

Compressing big data generated by IoT devices deployed along the green borderline

Hulaj Astrit, Prebreza Bahri, Bajrami Xhevahir

Przegląd Elektrotechniczny

2023

R. 99, nr 12

109--113

Deployment of the thousands of sensors along the green borderline the production of a large volume of data. The large volume of data can lead to unusual storage and transmission bandwidth requirements. The research presents an analytical and visual analysis of the performance of the data compression algorithms. The algorithms are modified and adapted for our research purpose, and the results are visualised graphically. This research includes a detailed analysis of data compression algorithms and will optimise the overall cost of storing data, and the link capacity.

Wdrożenie tysięcy czujników wzdłuż zielonej granicy produkcji dużej ilości danych. Duża ilość danych może prowadzić do nietypowych wymagań dotyczących przepustowości pamięci masowej i transmisji. W pracy przedstawiono analityczną i wizualną analizę działania algorytmów kompresji danych. Algorytmy są modyfikowane i dostosowywane do naszych celów badawczych, a wyniki są wizualizowane graficznie. Badania te obejmują szczegółową analizę algorytmów kompresji danych i zoptymalizują całkowity koszt przechowywania danych oraz przepustowość łącza.