Research Progress of Loading Control Strategy of IRSS Test Platform Based on Neural Network

Tang, Shaomin; Liu, Guixiong; Lin, Zhiyu; Li, Xiaobing

doi:10.1109/isas49493.2020.9378838

Cited by 1 publication

(1 citation statement)

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“…This type of servo motor control is used in systems where it is impossible or difficult to create an accurate mathematical model, such as multi-level autonomous control systems [109,110]. This method resonates with fuzzy logic-based control methods and possesses similar positive qualities such as flexibility, adaptability of control, and the ability to react quickly to external influences [111]. However, unlike fuzzy logic, training a neural network requires a huge amount of data and resources, as well as a significant amount of time, which is an obstacle in the real world where fast decision-making based on unexplored data is required.…”

Section: Other Modern Methodsmentioning

confidence: 99%

Principles and Methods of Servomotor Control: Comparative Analysis and Applications

Autsou,

Kudelina,

Vaimann

et al. 2024

Applied Sciences

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Servomotors have found widespread application in many areas, such as manufacturing, robotics, automation, and others. Thus, the control of servomotors is divided into various principles and methods, leading to a high diversity of control systems. This article provides an overview of types of servomotors and their basic principles and control methods. Principles such as digital signal processing, feedback control principle, field-oriented control, and integration with Industry 4.0 are discussed. Based on these control principles, the article presents popular control methods: PWM control, current control, two-loop control, fuzzy-logic control, and programmable control. The article concludes with a comparison of the presented methods on several criteria, and as an example, it includes the results of modeling a servomotor using the fuzzy-logic control method.

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Section: Other Modern Methodsmentioning

confidence: 99%