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Path tracking of autonomous ground vehicle based on fractional order PID controller optimized by PSO
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posted on 2023-06-08, 21:25 authored by Auday Al-Mayyahi, William Wang, Phil BirchAn 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.
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Publication status
- Published
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- Published version
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Page range
109-114Presentation Type
- paper
Event name
2015 IEEE 13th International Symposium on Applied Machine Intelligence and Informatics (SAMI)Event location
Herl'anyEvent type
conferenceEvent date
22-24 Jan. 2015Book title
2015 IEEE 13th International Symposium on Applied Machine Intelligence and Informatics (SAMI)Department affiliated with
- Engineering and Design Publications
Full text available
- No
Peer reviewed?
- Yes
Legacy Posted Date
2015-07-06First Compliant Deposit (FCD) Date
2015-07-06Usage metrics
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