Giter VIP home page Giter VIP logo

billcobb_challenge_a's Introduction

Bill Cobb's Vehicle Dynamics Professionals' Challenge

A series of challenges in vehicle dynamics design and produced by Bill Cobb for the Vehicle Dynamics Professionals' Facebook group.

Challenges

The challenges focus on treatment of standardized vehicle dynamics tests. The challenges make extensive use of the cornering compliance concept.

The challenges were posted on the Vehicle Dynamics Professionals's Facebook group over the course of July 11-12th, 2024.

The simulation data for each challenge is provided in the data folder.

Challenge 1: constant steer understeer gradient test

From a constant steer, variable speed understeer gradient test, show a plot of the understeer function vs. lateral acceleration showing the understeer gradient at a lateral acceleration of 0.15 G.

The challenge data is available in data/marc1.txt.

Available data channels
Time Lat. Accel. Run # Chassis slip angle Vehicle speed Steering wheel angle Yaw Velocity
Vehicle parameters
Parameter Value Unit
Wheelbase 2745 mm

Challenge 2: on-centre chirp steer test

From an on-centre chirp steer test at constant speed, show a Bode plot of the yaw velocity by steer response and compute the following metrics.

  • Understeer gradient
  • Steady-state gain
  • Peak gain
  • Frequency at peak gain
  • Ratio of peak to steady-state gain
  • Bandwidth

As an additional challenge, show a Bode plot of the yaw moment by steer response.

The challenge data is available in data/marc2.txt.

Available data channels
Time Lat. Accel. Run # Chassis slip angle Vehicle speed Steering wheel angle Yaw Velocity
Vehicle parameters
Parameter Value Unit
Wheelbase 2745 mm
Steering ratio 20 -
Mass, front 1000 kg
Mass, rear 600 kg

Challenge 3: constant radius understeer gradient test

From a constant radius understeer gradient test, show a plot of the understeer function and cornering compliances vs. lateral acceleration. Compute the tangent speed of the vehicle under test.

The challenge data is available in data/marc3.txt.

Available data channels
Time Lat. Accel. Run # Chassis slip angle Vehicle speed Steering wheel angle Yaw Velocity
Vehicle parameters
Parameter Value Unit
Wheelbase 2745 mm
Steering ratio 20 -
Mass, front 1000 kg
Mass, rear 600 kg

Challenge 4: constant speed ramp steer understeer gradient test

From a constant speed, variable steer gradient test, show a plot of the understeer function and cornering compliances vs. lateral acceleration.

The challenge data is available in data/marc4.txt.

Available data channels
Time Lat. Accel. Run # Chassis slip angle Vehicle speed Steering wheel angle Yaw Velocity
Vehicle parameters
Parameter Value Unit
Wheelbase 1745 mm
Steering ratio 5 -
Mass, front 80 kg
Mass, rear 120 kg

Challenge 5: constant speed step steer test

From a constant speed step steer test at varying steering magnitudes, show a plot of the following metrics.

  • Understeer function and cornering compliances vs. lateral acceleration
  • Step rise time of the steer angle, yaw velocity, chassis slip angle, and lateral acceleration vs. lateral acceleration
  • Step settling time of the yaw velocity, chassis slip angle, and lateral acceleration vs. lateral acceleration
  • Step overshoot percentage of the yaw velocity, chassis slip angle, and lateral acceleration vs. lateral acceleration

The challenge data is available in data/marc5.csv.

Available data channels
Time Lat. Accel. Run # Chassis slip angle Vehicle speed Steering wheel angle Yaw Velocity
Vehicle parameters
Parameter Value Unit
Wheelbase 2745 mm
Steering ratio 20 -
Mass, front 1000 kg
Mass, rear 600 kg
Additional notes
  • Input steering is not an ideal Heaviside step function, but rather a sigmoid. Industry standard is to take the 50% point of the steering as t(0).

Solutions

Python

An implementation by @kktse written in Python is available in the python folder. This solution is implemented in a Jupyter notebook and makes use of polars, numpy, scipy, matplotlib and python-control libraries.

Further details can be found in the README.md.

MATLAB

An implementation by Bill Cobb written in MATLAB is available in the matlab folder. These have been uploaded to the repository at the request the author.

billcobb_challenge_a's People

Contributors

kktse avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.