TY - JOUR
T1 - Fractional Transformation-Based Intelligent H-Infinity Controller of a Direct Current Servo Motor
AU - Rahman, Muhammad Zia Ur
AU - Leiva, Víctor
AU - Martin-Barreiro, Carlos
AU - Mahmood, Imran
AU - Usman, Muhammad
AU - Rizwan, Mohsin
N1 - Publisher Copyright:
© 2022 by the authors.
PY - 2023/1
Y1 - 2023/1
N2 - Direct current (DC) servo motors are central to many complex systems, such as electrical, electro-mechanical, and electro-hydraulic frameworks. In practice, these systems can have nonlinear characteristics and parameter variations. Accurate model representation and position tracking of DC motors are the main issues in many real systems, such as twin rotors, aircraft, airships, and robot manipulators. The precise position tracking of these systems has already been achieved using conventional H-infinity (H (Formula presented.)) controllers. However, the order and structure become more intricate when employing complex weights to shape the closed-loop system, which limits the current proposals. To overcome the above-mentioned limitations, in this article, we provide a precise angular position tracking of a DC servo motor utilizing an intelligent, robust linear controller based on a fixed-structure linear fractional transformation. The conventional H (Formula presented.) controllers are based on the minimization of an unstructured linear fractional transformation objective function that leads to a complex design of these controllers. The main advantage of the proposed intelligent H (Formula presented.) synthesis is the fixed and simple structure that increases its practical implementation. The methodology is formulated in the MATLAB software for the robust design of the proposed synthesis based on an intelligent fixed-structure H (Formula presented.) optimization. Simulation results are compared with conventional H (Formula presented.) and proportional-integral-derivative controllers. The results are also validated experimentally.
AB - Direct current (DC) servo motors are central to many complex systems, such as electrical, electro-mechanical, and electro-hydraulic frameworks. In practice, these systems can have nonlinear characteristics and parameter variations. Accurate model representation and position tracking of DC motors are the main issues in many real systems, such as twin rotors, aircraft, airships, and robot manipulators. The precise position tracking of these systems has already been achieved using conventional H-infinity (H (Formula presented.)) controllers. However, the order and structure become more intricate when employing complex weights to shape the closed-loop system, which limits the current proposals. To overcome the above-mentioned limitations, in this article, we provide a precise angular position tracking of a DC servo motor utilizing an intelligent, robust linear controller based on a fixed-structure linear fractional transformation. The conventional H (Formula presented.) controllers are based on the minimization of an unstructured linear fractional transformation objective function that leads to a complex design of these controllers. The main advantage of the proposed intelligent H (Formula presented.) synthesis is the fixed and simple structure that increases its practical implementation. The methodology is formulated in the MATLAB software for the robust design of the proposed synthesis based on an intelligent fixed-structure H (Formula presented.) optimization. Simulation results are compared with conventional H (Formula presented.) and proportional-integral-derivative controllers. The results are also validated experimentally.
KW - H controller
KW - fixed-structured controllers
KW - linear fractional transformation
KW - mayfly optimization
KW - non-smooth H optimization
KW - proportional derivative integral controller
UR - http://www.scopus.com/inward/record.url?scp=85146779418&partnerID=8YFLogxK
U2 - 10.3390/fractalfract7010029
DO - 10.3390/fractalfract7010029
M3 - Article
AN - SCOPUS:85146779418
SN - 2504-3110
VL - 7
JO - Fractal and Fractional
JF - Fractal and Fractional
IS - 1
M1 - 29
ER -