Journals / International Journal of Automotive Science and Technology / 2022 / Cilt: 6 - Sayı: 2

Comparative analysis of full car model with driver using PID and LQR controllers

Pages
178–188
Publication Date
2022-10-19
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

While the PID controller stands out in damping the dis-placement values at low speeds, the LQR controller is much more successful in other cases.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In this study, an active suspension model is proposed to increase the driving safety and passenger comfort of the car, which is adversely affected by car-road interaction.
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Key Findings & Data:In order to evaluate the performance of the designed controllers, two different road inputs and two different car speeds are taken into account.
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Conclusion & Impact:While the PID controller stands out in damping the dis-placement values at low speeds, the LQR controller is much more successful in other cases.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:: Full car model · Active suspension control · Ride control

Abstract

In this study, an active suspension model is proposed to increase the driving safety and passenger comfort of the car, which is adversely affected by car-road interaction. In this context, the full car model with a driver is considered as eight degrees of free-dom. All the motion equations of the car were determined by the Lagrangian method and converted into state-space forms. Then, these equations are solved precisely by us-ing Euler's method in Matlab software. PID and LQR controllers are designed to reduce the vertical displacement of the passenger and the rotational movements of the car. In order to evaluate the performance of the designed controllers, two different road inputs and two different car speeds are taken into account. In the simulation results, the verti-cal displacement and acceleration values of the driver and the rotational movements of the car were examined. While the PID controller stands out in damping the dis-placement values at low speeds, the LQR controller is much more successful in other cases.

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Cite This Article

Eroğlu, M., Koç, M. A., Kozan, R., Esen, İ. (2022). Comparative analysis of full car model with driver using PID and LQR controllers. International Journal of Automotive Science and Technology, Cilt: 6 - Sayı: 2, 178–188. https://ajindex.com/articles/540428

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