Design GUI App on MATLAB for Comparison Analysis of LQR and Pole Placement Controller for Speed Control DC Motor

Alemie Assefa

doi:doi:10.11648/j.acis.20231103.11

Research Article |

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Design GUI App on MATLAB for Comparison Analysis of LQR and Pole Placement Controller for Speed Control DC Motor

Alemie Assefa

Published in Automation, Control and Intelligent Systems (Volume 11, Issue 3)

Received: 1 September 2023 Accepted: 17 October 2023 Published: 30 October 2023

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Abstract

This article presents the design of a graphical user interface (GUI) application on MATLAB for comparing the performance of two popular control techniques, Linear Quadratic Regulator (LQR) and Pole Placement, for DC motor speed control. The GUI app allows users to input system dynamics, desired speed references, and controller gains to visualize and analyze the behavior of the controllers in real-time. The app provides dynamic plots and performance metrics, enabling users to evaluate settling time, overshoot, steady-state error, and control effort. The GUI app serves as an educational tool and aids in the selection of the optimal control strategy for DC motor speed control. Through its user-friendly interface and real-time analysis capabilities, the GUI app contributes to the advancement of control systems engineering and promotes efficient and accurate control of DC motors. The simulation result shown from this paper depends on the parameters of LQR and Pole placement controllers (PPC). When the weighting matrices of the Q matrices is high, the speed response is good and when the location of poles are far from the origin of s plane the simulation result is good compared to the poles near to the origin and when the poles are purely real the performance of the result is better than when poles are the combination of both real and imaginary parts has been tested. From the simulation result the rise time and settling time is low for pure real and negative poles than complex conjugate poles.

Published in	Automation, Control and Intelligent Systems (Volume 11, Issue 3) This article belongs to the Special Issue The Investigation of Various Kinds of Regularity Mappings of Optimal Control Problem
DOI	10.11648/j.acis.20231103.11
Page(s)	45-56
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

GUI, LQR, Pole Placement, DC Motor, PPC

References

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APA Style

Alemie Assefa. (2023). Design GUI App on MATLAB for Comparison Analysis of LQR and Pole Placement Controller for Speed Control DC Motor. Automation, Control and Intelligent Systems, 11(3), 45-56. https://doi.org/10.11648/j.acis.20231103.11

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ACS Style

Alemie Assefa. Design GUI App on MATLAB for Comparison Analysis of LQR and Pole Placement Controller for Speed Control DC Motor. Autom. Control Intell. Syst. 2023, 11(3), 45-56. doi: 10.11648/j.acis.20231103.11

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AMA Style

Alemie Assefa. Design GUI App on MATLAB for Comparison Analysis of LQR and Pole Placement Controller for Speed Control DC Motor. Autom Control Intell Syst. 2023;11(3):45-56. doi: 10.11648/j.acis.20231103.11

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@article{10.11648/j.acis.20231103.11,
  author = {Alemie Assefa},
  title = {Design GUI App on MATLAB for Comparison Analysis of LQR and Pole Placement Controller for Speed Control DC Motor},
  journal = {Automation, Control and Intelligent Systems},
  volume = {11},
  number = {3},
  pages = {45-56},
  doi = {10.11648/j.acis.20231103.11},
  url = {https://doi.org/10.11648/j.acis.20231103.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.acis.20231103.11},
  abstract = {This article presents the design of a graphical user interface (GUI) application on MATLAB for comparing the performance of two popular control techniques, Linear Quadratic Regulator (LQR) and Pole Placement, for DC motor speed control. The GUI app allows users to input system dynamics, desired speed references, and controller gains to visualize and analyze the behavior of the controllers in real-time. The app provides dynamic plots and performance metrics, enabling users to evaluate settling time, overshoot, steady-state error, and control effort. The GUI app serves as an educational tool and aids in the selection of the optimal control strategy for DC motor speed control. Through its user-friendly interface and real-time analysis capabilities, the GUI app contributes to the advancement of control systems engineering and promotes efficient and accurate control of DC motors. The simulation result shown from this paper depends on the parameters of LQR and Pole placement controllers (PPC). When the weighting matrices of the Q matrices is high, the speed response is good and when the location of poles are far from the origin of s plane the simulation result is good compared to the poles near to the origin and when the poles are purely real the performance of the result is better than when poles are the combination of both real and imaginary parts has been tested. From the simulation result the rise time and settling time is low for pure real and negative poles than complex conjugate poles.
},
 year = {2023}
}

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TY  - JOUR
T1  - Design GUI App on MATLAB for Comparison Analysis of LQR and Pole Placement Controller for Speed Control DC Motor
AU  - Alemie Assefa
Y1  - 2023/10/30
PY  - 2023
N1  - https://doi.org/10.11648/j.acis.20231103.11
DO  - 10.11648/j.acis.20231103.11
T2  - Automation, Control and Intelligent Systems
JF  - Automation, Control and Intelligent Systems
JO  - Automation, Control and Intelligent Systems
SP  - 45
EP  - 56
PB  - Science Publishing Group
SN  - 2328-5591
UR  - https://doi.org/10.11648/j.acis.20231103.11
AB  - This article presents the design of a graphical user interface (GUI) application on MATLAB for comparing the performance of two popular control techniques, Linear Quadratic Regulator (LQR) and Pole Placement, for DC motor speed control. The GUI app allows users to input system dynamics, desired speed references, and controller gains to visualize and analyze the behavior of the controllers in real-time. The app provides dynamic plots and performance metrics, enabling users to evaluate settling time, overshoot, steady-state error, and control effort. The GUI app serves as an educational tool and aids in the selection of the optimal control strategy for DC motor speed control. Through its user-friendly interface and real-time analysis capabilities, the GUI app contributes to the advancement of control systems engineering and promotes efficient and accurate control of DC motors. The simulation result shown from this paper depends on the parameters of LQR and Pole placement controllers (PPC). When the weighting matrices of the Q matrices is high, the speed response is good and when the location of poles are far from the origin of s plane the simulation result is good compared to the poles near to the origin and when the poles are purely real the performance of the result is better than when poles are the combination of both real and imaginary parts has been tested. From the simulation result the rise time and settling time is low for pure real and negative poles than complex conjugate poles.

VL  - 11
IS  - 3
ER  -

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Author Information

Alemie Assefa

Department of Electrical and Computer Engineering, Debre Berhan University, Debre Berhan, Ethiopia

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Plain Text BibTeX RIS

APA Style

Alemie Assefa. (2023). Design GUI App on MATLAB for Comparison Analysis of LQR and Pole Placement Controller for Speed Control DC Motor. Automation, Control and Intelligent Systems, 11(3), 45-56. https://doi.org/10.11648/j.acis.20231103.11

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ACS Style

Alemie Assefa. Design GUI App on MATLAB for Comparison Analysis of LQR and Pole Placement Controller for Speed Control DC Motor. Autom. Control Intell. Syst. 2023, 11(3), 45-56. doi: 10.11648/j.acis.20231103.11

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AMA Style

Alemie Assefa. Design GUI App on MATLAB for Comparison Analysis of LQR and Pole Placement Controller for Speed Control DC Motor. Autom Control Intell Syst. 2023;11(3):45-56. doi: 10.11648/j.acis.20231103.11

Copy | Download

@article{10.11648/j.acis.20231103.11,
  author = {Alemie Assefa},
  title = {Design GUI App on MATLAB for Comparison Analysis of LQR and Pole Placement Controller for Speed Control DC Motor},
  journal = {Automation, Control and Intelligent Systems},
  volume = {11},
  number = {3},
  pages = {45-56},
  doi = {10.11648/j.acis.20231103.11},
  url = {https://doi.org/10.11648/j.acis.20231103.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.acis.20231103.11},
  abstract = {This article presents the design of a graphical user interface (GUI) application on MATLAB for comparing the performance of two popular control techniques, Linear Quadratic Regulator (LQR) and Pole Placement, for DC motor speed control. The GUI app allows users to input system dynamics, desired speed references, and controller gains to visualize and analyze the behavior of the controllers in real-time. The app provides dynamic plots and performance metrics, enabling users to evaluate settling time, overshoot, steady-state error, and control effort. The GUI app serves as an educational tool and aids in the selection of the optimal control strategy for DC motor speed control. Through its user-friendly interface and real-time analysis capabilities, the GUI app contributes to the advancement of control systems engineering and promotes efficient and accurate control of DC motors. The simulation result shown from this paper depends on the parameters of LQR and Pole placement controllers (PPC). When the weighting matrices of the Q matrices is high, the speed response is good and when the location of poles are far from the origin of s plane the simulation result is good compared to the poles near to the origin and when the poles are purely real the performance of the result is better than when poles are the combination of both real and imaginary parts has been tested. From the simulation result the rise time and settling time is low for pure real and negative poles than complex conjugate poles.
},
 year = {2023}
}

Copy | Download

TY  - JOUR
T1  - Design GUI App on MATLAB for Comparison Analysis of LQR and Pole Placement Controller for Speed Control DC Motor
AU  - Alemie Assefa
Y1  - 2023/10/30
PY  - 2023
N1  - https://doi.org/10.11648/j.acis.20231103.11
DO  - 10.11648/j.acis.20231103.11
T2  - Automation, Control and Intelligent Systems
JF  - Automation, Control and Intelligent Systems
JO  - Automation, Control and Intelligent Systems
SP  - 45
EP  - 56
PB  - Science Publishing Group
SN  - 2328-5591
UR  - https://doi.org/10.11648/j.acis.20231103.11
AB  - This article presents the design of a graphical user interface (GUI) application on MATLAB for comparing the performance of two popular control techniques, Linear Quadratic Regulator (LQR) and Pole Placement, for DC motor speed control. The GUI app allows users to input system dynamics, desired speed references, and controller gains to visualize and analyze the behavior of the controllers in real-time. The app provides dynamic plots and performance metrics, enabling users to evaluate settling time, overshoot, steady-state error, and control effort. The GUI app serves as an educational tool and aids in the selection of the optimal control strategy for DC motor speed control. Through its user-friendly interface and real-time analysis capabilities, the GUI app contributes to the advancement of control systems engineering and promotes efficient and accurate control of DC motors. The simulation result shown from this paper depends on the parameters of LQR and Pole placement controllers (PPC). When the weighting matrices of the Q matrices is high, the speed response is good and when the location of poles are far from the origin of s plane the simulation result is good compared to the poles near to the origin and when the poles are purely real the performance of the result is better than when poles are the combination of both real and imaginary parts has been tested. From the simulation result the rise time and settling time is low for pure real and negative poles than complex conjugate poles.

VL  - 11
IS  - 3
ER  -

Copy | Download