Accurate Modelling and Identification of Vehicle’s Nonlinear Lateral Dynamics
نویسندگان
چکیده
The use of model-based controller or fault diagnosis systems in automotive control requires reliable dynamics models. The reliability consists in accurate prediction of the vehicle’s behavior, in order to evaluate current driving situations. Model parameters have to be precisely identified. This depends on the model’s capability to reproduce the complex dynamics of the real system, by remaining as simple as possible, for online computation. In this article, a practical approach of modelling vehicle dynamics is presented. Conventional simplifications are removed by coupling lateral and roll motion. Besides, nonlinear tire characteristic is presented. The accuracy and performance of the identified model is demonstrated by tests on real automotive systems. Copyright c ©2005 IFAC
منابع مشابه
Intelligent identification of vehicle’s dynamics based on local model network
This paper proposes an intelligent approach for dynamic identification of the vehicles. The proposed approach is based on the data-driven identification and uses a high-performance local model network (LMN) for estimation of the vehicle’s longitudinal velocity, lateral acceleration and yaw rate. The proposed LMN requires no pre-defined standard vehicle model and uses measurement data to identif...
متن کاملYaw Rate and Lateral Acceleration Sensor Plausibilisation in an Active Front Steering Vehicle
Accurate measurements from sensors measuring the vehicle’s lateral behavior are vital in todays vehicle dynamic control systems such as the Electronic Stability Program (ESP). This thesis concerns accurate plausibilisation of two of these sensors, namely the yaw rate sensor and the lateral acceleration sensor. The estimation is based on Kalman filtering and culminates in the use of a 2 degree-o...
متن کاملThe Neural Model of Dynamics of Unmanned Underwater Vehicle
In the paper using of the artificial neural networks for determination of coefficients of state equations of underwater vehicle’s motion in a horizontal plane and influence of neuron’s activation function for quality of underwater vehic le’s motion modelling is presented. The recurrent optimization network is used to identify parameters of the underwater vehicle’s dynamics. A structure and the ...
متن کاملVARIATIONAL HOMOTOPY PERTURBATION METHOD FOR SOLVING THE NONLINEAR GAS DYNAMICS EQUATION
A. Noor et al. [7] analyze a technique by combining the variational iteration method and the homotopy perturbation method which is called the variational homotopy perturbation method (VHPM) for solving higher dimensional initial boundary value problems. In this paper, we consider the VHPM to obtain exact solution to Gas Dynamics equation.
متن کاملIdentification and Adaptive Position and Speed Control of Permanent Magnet DC Motor with Dead Zone Characteristics Based on Support Vector Machines
In this paper a new type of neural networks known as Least Squares Support Vector Machines which gained a huge fame during the recent years for identification of nonlinear systems has been used to identify DC motor with nonlinear dead zone characteristics. The identified system after linearization in each time span, in an online manner provide the model data for Model Predictive Controller of p...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2005