Speed and Yaw Rate Response Optimization based on Parameter Estimation for Electrical Bus Mathematical Model

The mathematical model of the vehicle is an important component of vehicle stability control research. Therefore, the right model is required to model an actual vehicle. In designing a vehicle model, the right parameter values are also needed to produce an optimal output response from the model. However, optimal response cannot be obtained when there is parameter value that are either unknown or cannot be measured directly. This paper proposed a parameter estimation approach using the Quasi-Newton and least squares methods to estimate the value of the unknown parameter. The output responses from the model with the estimated parameters will be compared with the output responses from the simulator used, and the level of accuracy and error of the estimation method will be analyzed. From the test results, it was found that the model with the estimated parameter values produces high accuracy of more than 85%. It is shown that the proposed estimation method can be used in estimating the parameters of a vehicle model and can produce an optimal output response.