Research on MPPT of photovoltaic power generation based on Backstepping method

Wang, Junrui; Wang, Chuang; Li, Dai; Wang, Libao; Wu, Xia; Zhou, Jingchao

doi:10.1109/iciea51954.2021.9516439

Cited by 2 publications

(1 citation statement)

References 4 publications

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“…Zhang et al [65] designed a neural network adaptive sliding mode control strategy with an improved convergence law that takes into account joint friction and disturbances from the external environment, and it is able to weaken the influence of perturbations caused by errors during motion. Wu et al [66] used a quadratic exponential optimal control method for linear systems, introduced predictable system perturbations, and designed a feedforward control method based on error inputs that significantly reduced the effect of perturbations caused by motion. Cong et al [51] achieved motion regulation control by detecting the distance error between the center-of-mass position and the desired position during the motion of the exoskeleton robot, and this method does not need to consider the complex gait motion and is more flexible during the motion.…”

Section: Position Tracking Control Strategymentioning

confidence: 99%

Review of Human-exoskeleton Control Strategy for Lower Limb Rehabilitation Exoskeleton

Long

Guo

Chi

et al. 2023

J. Phys.: Conf. Ser.

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The research on exoskeleton robots has been widely carried out for many years around the world, especially the development of new-style lower limb exoskeletons for rehabilitation and assistance is one of the key research directions. The focus on the control system of lower limb exoskeletons for rehabilitation is discussed. Based on the public literature in recent years, it is summarized from three aspects, i.e., movement mode switching, human gait recognition and human-exoskeleton interaction control. Finally, the technical issues of the current lower limb rehabilitation exoskeleton control strategy are discussed. The future development prospects and research directions of the lower limb rehabilitation exoskeleton are prospected, and some suggestions on how to achieve a more efficient and accurate control are given.

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Section: Position Tracking Control Strategymentioning

confidence: 99%