A Discrete Terminal Neuro-Sliding Mode Control with Adaptive Switching Gain for an Uncertain Nonlinear System

Mohamed, Raja Ben; Dehri, Khadija; Elhajji, Zina; Nouri, Ahmed Saïd

doi:10.1007/s40998-021-00454-5

Cited by 2 publications

(1 citation statement)

References 22 publications

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“…To achieve simple and practical control effects, the adaptive gain structure of sliding mode observer (SMO) has also received widespread attention. The neural network structure is used to adjust the DSMC gain, 16 realizing online adaptive of switching gain, and effectively suppresses chattering. A gain adaptive SMC with disturbance observation is designed to achieve high‐precision control of the servo system in Dapeng et al 17 A gain adaptive SMO is designed in Chen et al 18 to achieve sensorless precise control of permanent magnet synchronous motors.…”

Section: Introductionmentioning

confidence: 99%

Disturbance supression improved discrete sliding mode fast current tracking control of experimental advanced superconducting tokamak fast control power supply

Chen,

Huang,

Wang

2023

Circuit Theory & Apps

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SummaryThe output current of the fast control power supply for the Experimental Advanced Superconducting Tokamak (EAST) excites the load coil. Magnetic field can be quickly generated by the fast output current to control the balance of plasma vertical displacement. In order to improve the output current speed of EAST fast control power supply and its ability to resist external disturbance, an improved discrete integral sliding mode control method combining gray prediction and variable gain sliding mode observer is proposed. A sliding mode disturbance observer is used to observe the total disturbance on the load side, and feedforward compensation control is performed on the total disturbance. To further suppress chattering and accelerate convergence speed, a high‐order term is added to the traditional discrete exponential reach law, and a gain adaptive observer is designed to adaptively adjust the observer gain based on the observed current error and the tracking current error. In the current sampling process, an improved gray prediction structure is added, and the original current sequence of gray prediction is improved based on the principle of new information priority, improving the accuracy of predicted current, compensating for the inherent delay in digital control, and further improving the output current response speed. Simulation and experimental verification show that the proposed disturbance suppression improved discrete integral sliding mode fast current tracking control strategy has faster output current response speed and strong antidisturbance performance.

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Section: Introductionmentioning

confidence: 99%