Vehicle Handling Dynamics State Estimation Based on Strong Tracking Filter
نویسندگان
چکیده
Due to some key state parameters of vehicle handling stability control are difficult to measure directly, the state optimization estimation algorithm of multi-sensor linear combination based on Strong Tracking Filter (STF) was proposed. Four degrees of freedom vehicle nonlinear dynamics model including longitudinal, lateral and roll motion were established. With the estimator of multi-sensors information fusion and the STF theory, the vehicle handling dynamics states estimation were simulated and analyzed. The result shows that the STF offers higher performance potential. Not only does it solve the problems of the state estimation value deviating from the true system states due to the model uncertainty, but also can inhibit the filtering divergence effectively. The technology of state estimation with the STF has wide range of adaptive tracking capability. It provides a real-time, accurate and low cost soft-sensing technology for vehicle advance control.
منابع مشابه
Robust Tracking Control of Satellite Attitude Using New EKF for Large Rotational Maneuvers
Control of a class of uncertain nonlinear systems, which estimates unavailable state variables, is considered. A new approach for robust tracking control problem of satellite for large rotational maneuvers is presented in this paper. The features of this approach include a strong algorithm to estimate attitude, based on discrete extended Kalman filter combined with a continuous extended Kalman ...
متن کاملRobust Tracking Control of Satellite Attitude Using New EKF for Large Rotational Maneuvers
Control of a class of uncertain nonlinear systems, which estimates unavailable state variables, is considered. A new approach for robust tracking control problem of satellite for large rotational maneuvers is presented in this paper. The features of this approach include a strong algorithm to estimate attitude, based on discrete extended Kalman filter combined with a continuous extended Kalman ...
متن کاملConstrained Nonlinear Estimation of Road Friction Coefficient and Wheel Slip for Control of Anti-Lock Braking System
In designing the anti-lock braking system (ABS), some states and parameters of vehicle system such as road friction of coefficient and wheel slip should be estimated due to lack of cost effective and reliable sensors for direct measurement. Because of nonlinear characteristics of vehicle dynamics and tire forces, development of a nonlinear estimation algorithm is necessary. However, considerati...
متن کاملEstimation of LOS Rates for Target Tracking Problems using EKF and UKF Algorithms- a Comparative Study
One of the most important problem in target tracking is Line Of Sight (LOS) rate estimation for using from PN (proportional navigation) guidance law. This paper deals on estimation of position and LOS rates of target with respect to the pursuer from available noisy RF seeker and tracker measurements. Due to many important for exact estimation on tracking problems must target position and Line O...
متن کاملTracking and Shape Control of a Micro-cantilever using Electrostatic Actuation
In this paper the problems of state estimation, tracking control and shape control in a micro-cantilever beam with nonlinear electrostatic actuation are investigated. The system’s partial differential equation of motion is converted into a set of ordinary differential equations by projection method. Observabillity of the system is proven and a state estimation system is designed using extended ...
متن کامل