Minimum time optimal control simulation of a GP2 race car

Bianco, Nicola Dal; Lot, Roberto; Gadola, Marco

doi:10.1177/0954407017728158

Cited by 45 publications

(26 citation statements)

References 26 publications

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“…The University of Brescia joined the FSAE competition for the first time in 2014, building three cars in three years. More than 100 students have been involved to date, giving birth to more than 30 degree thesis works, to various side projects and to research papers like Crema et al 38 (describes the use of a dedicated portable instrumentation to monitor heartbeat rate and other vital parameters of student drivers when competing at a FSAE event to evaluate stress from the physiological point of view), 39 (describes a kinematic feature adopted on the front suspension of the latest UniBS FSAE car design and its effects on handling behaviour), 40,41 (report the indoor tests carried out on a four-poster test rig and the development of an experimental suspension friction model, to be incorporated into FSAE vehicle dynamics simulations), 42 (presents a new power management strategy using a FSAE car as one of the test vehicles), 43 (about lap time simulation of a professional race car, including optimal control application), 44 and (on the development of a proprietary software tool for suspension kinematics analysis) among others.…”

Section: The Case Study: the Unibs Motostudent Projectmentioning

confidence: 99%

Experiential learning in engineering education: The role of student design competitions and a case study

Gadola

Chindamo

2017

International Journal of Mechanical Engineering Education

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Student competitions can play an important role in education: they promote interest and engagement of the students, as well as of the teachers. In the case of engineering, one of the most challenging contests in Europe is the Motostudent event, joined by the University of Brescia (UniBS) in 2016 for the first time. It is a typical implementation of Kolb's theory of experiential learning, where engineering theory and application meet in an intensive, 'hands-on' team work experience, resulting in a very effective learning process that involves the so-called soft skills as well. The paper aims at briefly reviewing the scope of competitions like the Formula SAE and sharing the authors' experience in a similar event, the Motostudent contest.

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Section: The Case Study: the Unibs Motostudent Projectmentioning

confidence: 99%

Experiential learning in engineering education: The role of student design competitions and a case study

Gadola

Chindamo

2017

International Journal of Mechanical Engineering Education

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“…The most common methods for lap time simulation are [6]: (i) optimal control problem (OCP) approaches; and (ii) quasi-steady-state (QSS) approaches. Optimal control is used when the trajectory is not known a priori.…”

Section: Introductionmentioning

confidence: 99%

A Simple Mono-Dimensional Approach for Lap Time Optimisation

Lenzo

Rossi

2020

Applied Sciences

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Lap time minimisation methods have great relevance in the analysis of race tracks, and in the design and optimisation of race vehicles. Several lap time minimisation approaches have been proposed in the literature, which are computationally demanding because they need to either solve differential equations or to implement a forward–backward integration based on an apex-finding method. This paper proposes an alternative method, based on a mono-dimensional quasi-steady-state numerical approach. The proposed approach uses a simplified vehicle model accounting for combined tyre–road interactions, aerodynamic effects, and power limitations. The method exploits the knowledge of the curvature of the trajectory, which is worked out through a rigorous approach that allows for the use trajectories defined with respect to ageneric curve parameter and not necessarily the arc length. An iterative routine is implemented that exploits the vehicle dynamics, without solving differential equations or performing forward–backward integrations from the trajectory apexes. Simulations are carried out on three different tracks and are shown to be computationally efficient. Despite being intentionally simple, the proposed method allows to grasp key aspects of the problem, such as the effect of the combined tyre–road interactions on the acceleration profiles, and the effect of aerodynamic drag and downforce on the position of the braking point on the track and on the speed profile.

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“…The results seem to be promising, but the effects of vehicle speed variations hence tyre-road friction are not addressed. The neural network suggested in [14] is instead based on a non-conventional set of sensors (measurements provided by four two-axis accelerometers placed on each corner of the car body are required).…”

Section: Introductionmentioning

confidence: 99%

Estimation of Vehicle Side-Slip Angle Using an Artificial Neural Network

Chindamo

Gadola

2018

MATEC Web of Conferences

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Abstract. In this work, a reliable and effective method to predict the vehicle side-slip angle is given by means of an artificial neural network. It is well known that artificial neural networks are a very powerful modelling tool. They are largely used in many engineering fields to model complex and strongly non-linear systems. For this application, the network has to be as simple as possible in order to work in real-time within built-in applications such as active safety systems. The network has been trained with the data coming from a custom manoeuvre designed in order to keep the method simple and light from the computational point of view. Therefore, a 5-10-1 (input-hidden-output layer) network layout has been used. These aspects allow the network to give a proper estimation despite its simplicity. The proposed methodology has been tested by means of the CarSim ® simulation package, which is considered one of the reference tools in the field of vehicle dynamics simulation. To prove the effectiveness of the method, tests have been carried out under different adherence conditions.

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Minimum time optimal control simulation of a GP2 race car

Cited by 45 publications

References 26 publications

Experiential learning in engineering education: The role of student design competitions and a case study

Experiential learning in engineering education: The role of student design competitions and a case study

A Simple Mono-Dimensional Approach for Lap Time Optimisation

Estimation of Vehicle Side-Slip Angle Using an Artificial Neural Network

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