Path tracking of autonomous ground vehicle based on fractional order PID controller optimized by PSO

Al-Mayyahi, Auday, Wang, William and Birch, Phil (2015) Path tracking of autonomous ground vehicle based on fractional order PID controller optimized by PSO. In: 2015 IEEE 13th International Symposium on Applied Machine Intelligence and Informatics (SAMI), 22-24 Jan. 2015, Herl'any.

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Abstract

An optimal control technique is proposed to address the problem of path tracking of an autonomous ground vehicle. This technique utilizes a Fractional Order Proportional Integral Derivative (FOPID) controller to control a non-holonomic autonomous ground vehicle to track the behaviour of the predefined reference path. Two FOPID controllers are designed to control the vehicle's inputs. These inputs represent the torques that are used in order to manipulate the implemented model of the vehicle to obtain the actual path. The implemented model of the non-holonomic autonomous ground vehicle takes into consideration both of the kinematic and dynamic models. In additional, a Particle Swarm Optimization (PSO) algorithm is used to optimize the FOPID controllers' parameters. These optimal tuned parameters of FOPID controllers minimize the cost function used in the algorithm. The effectiveness and validation of the proposed method have been verified through different patterns of reference paths using MATLAB-SIMULINK software package. The newly obtained results of FOPID controller show the advantage and the performance of the technique in terms of minimizing path tracking error and the complement of the path following.

Item Type: Conference or Workshop Item (Paper)
Schools and Departments: School of Engineering and Informatics > Engineering and Design
Depositing User: Nikoleta Kiapidou
Date Deposited: 06 Jul 2015 10:37
Last Modified: 06 Jul 2015 10:37
URI: http://sro.sussex.ac.uk/id/eprint/55150

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