TY - GEN
T1 - Designing Fuzzy Artificial Organic Networks Using Sliding-Mode Control
AU - Ponce, Pedro
AU - Rosales, Antonio
AU - Molina, Arturo
AU - Ayyanar, Raja
N1 - Funding Information:
Acknowledgment. This research is a product of the Project 266632 “Laboratorio Binacional para la Gestión Inteligente de la Sustentabilidad Energética y la Formación Tecnológica” [“BiNational Laboratory on Smart Sustainable Energy Management and Technology Training”], funded by the CONACYT SENER Fund for Energy Sustainability (Agreement: S0019201401).
PY - 2019
Y1 - 2019
N2 - Since direct-current (DC) drives are commonly used electric drives, it is imperative to improve their operation under sudden torque-load disturbances. Several industrial applications work under torque-load changes that strongly affect the speed response of the motor, thus deteriorating the performance of the DC drive. On the other hand, discontinuous sliding-mode control (SMC) ensures robustness against disturbances and changes in parameters but has certain drawbacks, such as chattering. In this paper, a fuzzy-logic controller (FLC) based on artificial organic networks is proposed to adjust the control signal of the SMC. This control provides a smooth signal that reduces chatter. The Lyapunov stability of the DC motor driven by the proposed SMC with a fuzzy organic controller is tested and stability margins are computed. The proposed controller is validated via simulation results showing an excellent DC-drive performance. In fact, the fuzzy artificial organic controller can adjust the command signal to improve the transitory response of the DC drive. The proposed controller achieves a good performance for speed controllers using brushless DC motors.
AB - Since direct-current (DC) drives are commonly used electric drives, it is imperative to improve their operation under sudden torque-load disturbances. Several industrial applications work under torque-load changes that strongly affect the speed response of the motor, thus deteriorating the performance of the DC drive. On the other hand, discontinuous sliding-mode control (SMC) ensures robustness against disturbances and changes in parameters but has certain drawbacks, such as chattering. In this paper, a fuzzy-logic controller (FLC) based on artificial organic networks is proposed to adjust the control signal of the SMC. This control provides a smooth signal that reduces chatter. The Lyapunov stability of the DC motor driven by the proposed SMC with a fuzzy organic controller is tested and stability margins are computed. The proposed controller is validated via simulation results showing an excellent DC-drive performance. In fact, the fuzzy artificial organic controller can adjust the command signal to improve the transitory response of the DC drive. The proposed controller achieves a good performance for speed controllers using brushless DC motors.
KW - Artificial hydrocarbon networks
KW - Artificial organic networks
KW - DC motor
KW - Intelligent control
KW - Sliding mode control
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U2 - 10.1007/978-3-030-33749-0_44
DO - 10.1007/978-3-030-33749-0_44
M3 - Conference contribution
AN - SCOPUS:85075667960
SN - 9783030337483
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 546
EP - 556
BT - Advances in Soft Computing - 18th Mexican International Conference on Artificial Intelligence, MICAI 2019, Proceedings
A2 - Martínez-Villaseñor, Lourdes
A2 - Batyrshin, Ildar
A2 - Marín-Hernández, Antonio
PB - Springer
T2 - 18th Mexican International Conference on Artificial Intelligence, MICAI 2019
Y2 - 27 October 2019 through 2 November 2019
ER -