I have built a 10-DOF vehicle model for estimation of the lateral dynamics. Next task is to optimize it. For example, I want to find the optimal values of the Yaw moment of inertia (input) that maintain the Yaw Rate under a certain threshold for a given maneuver (Step steer).
The problem is that since the model is very complex, there is not a transfer function between these two.
Ideally, I want to use a genetic algorithm for these task.
Any suggestions on how to resolve this?I have built a 10-DOF vehicle model for estimation of the lateral dynamics. Next task is to optimize it. For example, I want to find the optimal values of the Yaw moment of inertia (input) that maintain the Yaw Rate under a certain threshold for a given maneuver (Step steer).
The problem is that since the model is very complex, there is not a transfer function between these two.
Ideally, I want to use a genetic algorithm for these task.
Any suggestions on how to resolve this? I have built a 10-DOF vehicle model for estimation of the lateral dynamics. Next task is to optimize it. For example, I want to find the optimal values of the Yaw moment of inertia (input) that maintain the Yaw Rate under a certain threshold for a given maneuver (Step steer).
The problem is that since the model is very complex, there is not a transfer function between these two.
Ideally, I want to use a genetic algorithm for these task.
Any suggestions on how to resolve this? simulink, vehicle dynamics, optimization, genetic algorithms MATLAB Answers — New Questions

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