Abstract
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.
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References
Utkin, V., Guldner, J., Shi, J.: Sliding Mode Control in Electro-Mechanical Systems. Taylor and Francis Group, Florida (2009)
Ponce-Espinosa, H., Ponce-Cruz, P., Molina, A.: Artificial organic networks. In: Ponce-Espinosa, H., Ponce-Cruz, P., Molina, A. (eds.) Artificial Organic Networks. SCI, vol. 521, pp. 53–72. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-02472-1_3
Hsu, C.F., Lee, B.K.: FPGA-based adaptive PID control of a DC motor driver via sliding-mode approach. Expert Syst. Appl. 38, 11866–11872 (2011)
Shtessel, Y., Edwards, C., Fridman, L., Levant, A.: Sliding Mode Control and Observation. Birkhäuser, New York (2014)
Acknowledgment
This research is a product of the Project 266632 “Laboratorio Binacional para la Gestión Inteligente de la Sustentabilidad Energética y la Formación Tecnológica” [“Bi-National Laboratory on Smart Sustainable Energy Management and Technology Training”], funded by the CONACYT SENER Fund for Energy Sustainability (Agreement: S0019201401).
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Ponce, P., Rosales, A., Molina, A., Ayyanar, R. (2019). Designing Fuzzy Artificial Organic Networks Using Sliding-Mode Control. In: Martínez-Villaseñor, L., Batyrshin, I., Marín-Hernández, A. (eds) Advances in Soft Computing. MICAI 2019. Lecture Notes in Computer Science(), vol 11835. Springer, Cham. https://doi.org/10.1007/978-3-030-33749-0_44
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DOI: https://doi.org/10.1007/978-3-030-33749-0_44
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