Velocity tracking of cruise control system by using feedback linearization method

Authors

Abstract:

In cruise control systems, the performance of the controller is important. Hence, in order to have accurate results, the nonlinear behavior of a vehicle model should also be considered. In this article, a vehicle with a nonlinear model is controlled by using a nonlinear method. The nonlinear term of the model is the generated torque of engine, which is a polynomial equation. In addition, feedback linearization is used as a nonlinear method in order to design two parallel controllers to control the movement of the vehicle. These two parallel controllers are used to control braking and gas pedals which are in charge of the angular velocity of the wheels. To check the performances of controllers, first, each controller is used separately. Finally, two parallel controllers are used to track the reference signal. Comparison between results shows that the designed controller is able to reduce the convergence time of about 10 seconds. This improvement is near 35% in comparison with near studies. In addition, it can reduce the error between the velocity of the vehicle and the values of the reference signal that results in more safety for passengers.

Upgrade to premium to download articles

Sign up to access the full text

Already have an account?login

similar resources

Improving the velocity tracking of cruise control system by using adaptive methods

Accurate and correct performance of controller in cruise control systems is important. Hence, in such systems, controller should optimize itself against noise and probable changes in system dynamic. As a matter of fact, in this article three approaches have been conducted to-ward this purpose: MIT, direct estimation and indirect estimation. These approaches are used as controllers to track refe...

full text

Velocity Control of Electro Hydraulic Servo System by Tracking Method

This paper proposes an efficient Tracking method for velocity control of an electro-hydraulic servo system (EHSS) in the presence of flow nonlinearities and internal friction. The tracking method controller is a kind of feedback error learning structure. In the proposed method, the Feedback Error Learning (FEL) algorithm is used to control the velocity. There is no need to compute the system ja...

full text

improving the velocity tracking of cruise control system by using adaptive methods

accurate and correct performance of controller in cruise control systems is important. hence, in such systems, controller should optimize itself against noise and probable changes in system dynamic. as a matter of fact, in this article three approaches have been conducted to-ward this purpose: mit, direct estimation and indirect estimation. these approaches are used as controllers to track refe...

full text

Velocity Control of Electro Hydraulic Servo System by using a Feedback Error Learning Method

In this paper, a new control method based on FEL electro hydraulic servo control withnonlinear flux and internal friction, has been presented. The new approach based oncontrollers combined by a classic PD controller and a fuzzy controller is smart. This newtechnique has a good ability to control the performance and stability. Simulations have beencarried out in Matlab environment and the result...

full text

velocity control of electro hydraulic servo system by tracking method

this paper proposes an efficient tracking method for velocity control of an electro-hydraulic servo system (ehss) in the presence of flow nonlinearities and internal friction. the tracking method controller is a kind of feedback error learning structure. in the proposed method, the feedback error learning (fel) algorithm is used to control the velocity. there is no need to compute the system ja...

full text

velocity control of electro hydraulic servo system by using a feedback error learning method

in this paper, a new control method based on fel electro hydraulic servo control withnonlinear flux and internal friction, has been presented. the new approach based oncontrollers combined by a classic pd controller and a fuzzy controller is smart. this newtechnique has a good ability to control the performance and stability. simulations have beencarried out in matlab environment and the result...

full text

My Resources

Save resource for easier access later

Save to my library Already added to my library

{@ msg_add @}


Journal title

volume 8  issue 4

pages  2826- 2832

publication date 2018-12

By following a journal you will be notified via email when a new issue of this journal is published.

Keywords

Hosted on Doprax cloud platform doprax.com

copyright © 2015-2023