Designing Fuzzy Artificial Organic Networks Using Sliding-Mode Control

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.