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Control Systems: Applications01:25

Control Systems: Applications

659
Electrical engineering plays a pivotal role in our daily lives, with control systems at the heart of many applications, from home appliances to sophisticated space shuttles. Control systems manage and regulate the behavior of devices and processes, ensuring they function safely, correctly, and efficiently.
In modern vehicles, control systems manage various functions to enhance performance and safety. The steering wheel and accelerator are primary inputs in a car's control system. The...
659
Control Systems01:10

Control Systems

1.2K
Control systems are everywhere in contemporary society, influencing diverse applications from aerospace to automated manufacturing. These systems can be found naturally within biological processes, such as blood sugar regulation and heart rate adjustment in response to stress, as well as in man-made systems like elevators and automated vehicles. A control system is essentially a network of subsystems and processes that collaboratively convert specific inputs into desired outputs.
At the heart...
1.2K
Electro-mechanical Systems01:19

Electro-mechanical Systems

1.0K
Electromechanical systems are intricate configurations that effectively combine electrical and mechanical elements to achieve a desired outcome. Central to many of these systems is the DC motor, a device that converts electrical energy into mechanical motion, enabling various applications ranging from simple fans to complex robotic mechanisms.
A key component of the DC motor is the armature, a rotating circuit positioned within a magnetic field. As an electric current passes through the...
1.0K
Stereotype Content Model02:16

Stereotype Content Model

14.8K
The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
14.8K
Mechanical Systems01:22

Mechanical Systems

242
Mechanical systems are analogous to to electrical networks where springs and masses play similar roles to inductors and capacitors, respectively. A viscous damper in mechanical systems functions similarly to a resistor in electrical networks, dissipating energy. The forces acting on a mass in such systems include an applied force in the direction of motion, counteracted by forces from the spring, a viscous damper, and the mass's acceleration. This interplay of forces is mathematically...
242
Mechanical Efficiency of Real Machines01:14

Mechanical Efficiency of Real Machines

760
The mechanical efficiency of a machine is a fundamental concept that describes how effectively a machine can convert input work into output work. According to this concept, the efficiency of a machine is equal to the ratio of the output work to the input work. An ideal machine, meaning a machine that has no energy losses, has an efficiency of one. This implies that the input work and the output work are equal.
However, in reality, no machine can be truly ideal, and all of them experience some...
760

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相关实验视频

Updated: Jul 23, 2025

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

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机械机械设备控制通过人工智能.

Martin Bohušík1, Vladimír Stenchlák1, Miroslav Císar1

  • 1Department of Automation and Production Systems, Faculty of Mechanical Engineering, University of Zilina, 010 26 Zilina, Slovakia.

Sensors (Basel, Switzerland)
|July 14, 2023
PubMed
概括
此摘要是机器生成的。

人工智能 (AI) 预测用于控制球形平行动力结构中的电机,提高了效应器定位的准确性. 这种方法有效地校准了机械不准确性,以精确控制设备的光轴.

关键词:
敏捷的眼睛敏捷的眼睛人工智能的人工智能是人工智能.神经网络的神经网络的神经网络预测 预测 预测 预测

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科学领域:

  • 机器人和机械电子学
  • 人工智能的人工智能
  • 机械工程 机械工程

背景情况:

  • 人工智能 (AI) 对于各种领域的创新越来越重要.
  • 平行运动结构提供了高动态性和多个自由度.
  • 机械电子设备经常面临机械不准确性和清除的挑战.

研究的目的:

  • 研究AI预测在球形平行动力结构中用于运动控制的应用.
  • 开发和测试一种使用人工智能校准电机控制的方法,以弥补机械缺陷.
  • 通过人工智能驱动的校准来评估效应器定位的精度.

主要方法:

  • 设计并制造了一种原型的球形平行运动结构,具有三度自由度,利用"敏捷眼睛"运动模型.
  • 采用人工智能预测用于电机控制和机制校准,考虑3D打印和制部件的清除.
  • 进行了实验,以评估基于人工智能的校准在实现精确的效应器定位方面的有效性.

主要成果:

  • 人工智能预测成功控制了动力学机制中的效应器定位电机.
  • 人工智能校准方法有效地弥补了机械部件的不准确性和空隙.
  • 实现了对设备光学轴的精确控制,验证了AI方法的有效性.

结论:

  • 基于人工智能的电机控制和校准提供了一种有效的解决方案,用于提高机械电子系统的精度.
  • 开发的方法证明了人工智能克服机械缺陷所带来的局限性的潜力.
  • 进一步的机械设计改进可能会减少对此类校准方法的需求.