Simulation of Parking Dynamics Based on MATLAB
Parking is one of the important skills for drivers to control bicycles, automobiles, motorcycles and other vehicles in urban roads and parking lots. Parking skills are of great significance to improving driving safety, preventing traffic accidents, and alleviating urban traffic congestion. Therefore, this article will introduce how to use MATLAB to simulate parking dynamics, and demonstrate how to evaluate parking performance through examples.
1. Basics of Parking Dynamics
Parking dynamics refers to the description of the influence of factors such as steering force, braking force, and anti-skid force on the vehicle when a certain force is applied when the vehicle is stationary. In parking dynamics, commonly used key parameters include longitudinal deceleration, lateral acceleration, roll angle, etc. These parameters can be calculated through mathematical models, and can also be simulated and analyzed through simulation.
2. Using MATLAB for parking dynamics simulation
As a widely used scientific computing software, MATLAB can model and simulate the parking dynamics model. Next, we will introduce how to use MATLAB to simulate parking dynamics.
1. Establish a simulation model
First, we need to build a simulation model of the parking dynamics. In MATLAB, we can use Simulink for model building. Specific steps are as follows:
(1) Open Simulink, and select the "New Model" command in the left toolbar;
(2) Add Input, Output and other components to the model to input tire force, calculate vehicle speed and other operations;
(3) Add various controllers to the model, such as brake controller, steering controller, etc.;
(4) Add an environmental framework, such as a map, to the model.
2. Simulation model parameter setting
After the simulation model is established, we need to set the parameters of the model. It mainly includes the following aspects:
(1) Vehicle parameters: including vehicle weight, chassis stiffness, etc.;
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