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

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 freedom. 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 using 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 vertical 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 displacement values at low speeds, the LQR controller is much more successful in other cases.

Investigation of the Effects of Axle Load on Tyre Behaviour in Vehicles

“…In the flow chart, blue blocks are input parameters, gray blocks are intermediate parameters and green blocks are output parameters. In vehicle dynamics, MATLAB Simulink software is used in many areas, from body behavior such as slip and roll over to suspension models [53,54]. In this study, in which the effects of axle load on tyre mechanics were investigated, important parameters of tyre mechanics were investigated for the values of axle load between 1000 N and 6000 N using the MATLAB Simulink software.…”

Prediction of the PID Parameters for the Vibration Control with ANN Considering Half-Car Vehicle Model

“…[1] and [2] have explored the application of PID control in nonlinear half-car suspension systems, emphasizing its impact on ride comfort. Additionally, Eroğlu et al conducted a comparative analysis of full car models with PID and LQR controllers, shedding light on the control strategies that influence passenger comfort [3].…”