Optimal Speed Control Humps Design Based on Driver Comfort

This paper aims to optimize a fuzzy logic controller (FLC) active seat suspension applied to an articulated truck semi-trailer seat to improve ride comfort considering the energy consumption of the controller. The proposed truck model is a linear truck with 13 degree-of-freedom (DOF). Two objective functions are defined seat root mean square (RMS) acceleration related to ride comfort and controller RMS force pertaining to the energy consumption of the controller. The Pareto Front is obtained for these two objective functions using the multi-objective optimization method in MATLAB. The optimization is based on the Non-Dominated Sorting Genetic Algorithm (NSGA-II), which has been proposed as a powerful decision space exploration engine based on a genetic algorithm (GA) for solving a multi-objective function problem. Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), which is simple and effective, selects a set of optimal controller parameters. In addition, considering the changes of effective parameters in the truck, including trailer load and location, tyres’ stiffness and the driver’s mass, has been investigated to provide Monte Carlo sensitivity analysis of these parameters on objective functions. Finally, using ISO 2631-1, the ride comfort and controller required force levels before and after optimization are compared. The results of this optimization indicate a significant improvement in ride comfort and controller force which has been different in various conditions of truck speed and road classes. The results have shown that the maximum amount of improvement in ride comfort is about 25% which happens on Class-C road (at the truck speed of 60 km/h), and the control force reduction peaks at around 60%, which occurs on Class-A road (at the truck speed of 60 km/h). The simulation is validated by MSC-ADAMS software.

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“…Where ( Z ·· s , w ) RMS is the seat root mean square (RMS) acceleration calculated from equation (2). 36,37…”

Section: Methodology and Modellingmentioning

confidence: 99%

A multi-objective optimization method based on NSGA-II algorithm and entropy weighted TOPSIS for fuzzy active seat suspension of articulated truck semi-trailer

Gheibollahi

Masih‐Tehrani

2023

Proceedings of the Institution of Mechanical Engineers, Part C:

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“…Figure 2 shows our simulation object, and Table 2 shows the parameters of the model [11]. We set the static equilibrium parameters as the initial conditions of the simulation, and set the step size to 0.02 km/h.…”

Section: Simulation Parametersmentioning

confidence: 99%

“…As for the selection of the vehicle simulation model, the fourdegree-of-freedom (4-DOF) half-vehicle model is closer to the practical vehicle model [9]. The model can not only reflect the vertical and pitching motion of a vehicle body, but also the vertical direction deformation when the front and rear wheels move [11].…”

Section: Introductionmentioning

confidence: 99%

“…a trapezoid, while the cross-section of hybrid SCHs is a combination of different shapes, such as a trapezoid and sinusoid. Ordinary SCHs have proved to have a certain impact on the comfort of the vehicle [11,12], while research on hybrid SCHs is relatively lacking: whether the chaotic motion will occur, what range the speed should be controlled in in order to improve comfort and safety, and how to effectively suppress chaotic motion if there is chaotic motion. As a potential scene in the automatic driving scene, it is of practical significance to research the nonlinear motion characteristics of vehicles passing through hybrid SCHs.…”

Section: Introductionmentioning

confidence: 99%

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Bulletin of the Polish Academy of Sciences: Technical Sciences

Yang,

Wang,

et al. 2022

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In order to improve the safety and comfort of autonomous vehicles passing through the expressway, relevant departments of expressway construction often design and lay consecutive speed control humps (SCHs) with cross-sections of different shapes according to different road conditions, such as the combination of trapezoidal and sinusoidal SCHs. In this paper, we conduct a study about the nonlinear dynamic characteristics of the autonomous vehicle passing through hybrid SCHs. Firstly, a four-degree-of-freedom (4-DOF) nonlinear model of the vehicle suspension and the speed coupling excitation model under hybrid SCHs are established. Then the fourth-fifth order Runge-Kutta method is used to simulate the nonlinear system, and its nonlinear dynamic characteristics are analyzed. The results show that chaotic motion occurs when the vehicle passes through hybrid SCHs, and the speed range of chaotic motion is obtained. Then, a direct variable feedback control method is used to suppress the chaotic vibration of semi-active suspension vehicles, and the effect is verified by simulation experiments. Finally, this paper presents a multi-objective optimization model based on a genetic algorithm (GA) for active suspension vehicles. The optimization model selects the vertical displacement and pitching angle of the vehicle body as the objective function. The research results of this paper can provide information on the ride comfort's optimization for autonomous vehicles passing through hybrid SCHs and on the design of vehicle suspension system.

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Research on adaptive speed control method of an autonomous vehicle passing a speed bump on the highway based on a genetic algorithm

et al. 2022

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Abstract. When autonomous vehicles pass through uneven roads, especially the consecutive speed control humps (SCHs) on expressways, the speed of them will have a significant influence on the safety and comfort of driving. How to automatically select the most appropriate speed has become a practical research subject. This paper studies the nonlinear vibration process of the suspension system when the autonomous vehicle passes through the SCHs on a highway. Firstly, the paper establishes a four-degree-of-freedom (4-DOF) nonlinear half-vehicle model and a stimulation function of trapezoidal SCHs and then uses the Runge–Kutta method to numerically solve the differential equations of motion of the suspension system. In the next part, the paper chooses the genetic algorithm to build a multi-objective optimization problem model, which selects the vertical displacement of the vehicle body, the suspension's dynamic deflection and the dynamic load of the tire as optimization objectives and combines the method of the unified objective function to find the optimal passing speed. Finally, the paper designs and carries out the solution process of the multi-objective optimization problem for the vehicle under three scenarios, conventional passive suspension, semi-active suspension, active suspension, and compares the optimized state with the pre-optimized state to prove the effectiveness of the optimization model.

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Optimal Speed Control Humps Design Based on Driver Comfort

Cited by 3 publications

References 11 publications

A multi-objective optimization method based on NSGA-II algorithm and entropy weighted TOPSIS for fuzzy active seat suspension of articulated truck semi-trailer

A multi-objective optimization method based on NSGA-II algorithm and entropy weighted TOPSIS for fuzzy active seat suspension of articulated truck semi-trailer

Bulletin of the Polish Academy of Sciences: Technical Sciences

Research on adaptive speed control method of an autonomous vehicle passing a speed bump on the highway based on a genetic algorithm

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