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相关概念视频

PI Controller: Design01:24

PI Controller: Design

486
Proportional Integral (PI) controllers are a fundamental component in modern control systems, widely used to enhance performance and mitigate steady-state errors. They are particularly effective in applications such as automatic brightness adjustment on smartphones, where they excel at mitigating steady-state errors for step-function inputs. Unlike PD controllers, which require time-varying errors to function optimally, PI controllers leverage their integral component to address residual...
486
PID Controller01:19

PID Controller

234
Proportional-Integral-Derivative (PID) controllers are widely used in various control systems to enhance stability and performance. In a thermostat, it adjusts heating or cooling based on the temperature difference between the actual and desired levels. They are often used in automotive speed systems, effectively managing sudden speed changes while maintaining a constant speed under varying conditions. On the other hand, PI controllers, commonly employed in voltage regulation, enhance stability...
234
Open and closed-loop control systems01:17

Open and closed-loop control systems

993
Control systems are foundational elements in automation and engineering. They are broadly categorized into open-loop and closed-loop systems. These classifications hinge on the presence or absence of feedback mechanisms, significantly influencing the system's performance, complexity, and application.
An open-loop control system operates without feedback from the output. It consists of two primary elements: the controller and the controlled process. The controller receives an input signal...
993
Time and frequency -Domain Interpretation of PI Control01:27

Time and frequency -Domain Interpretation of PI Control

205
Proportional-Integral (PI) controllers are essential in many control systems to improve stability and performance. They are commonly used in everyday devices like thermostats to enhance system damping and reduce steady-state error. When the zero in the controller's transfer function is optimally placed, the system benefits significantly in terms of stability and accuracy.
Acting as a low-pass filter, the PI controller slows the system's response and extends settling times. This requires...
205
PD Controller: Design01:26

PD Controller: Design

349
In automotive engineering, car suspension systems often employ Proportional Derivative (PD) controllers to enhance performance. PD controllers are utilized to adjust the damping force in response to road conditions. A controller, acting as an amplifier with a constant gain, demonstrates proportional control, with output directly mirroring input.
Designing a continuous-data controller requires selecting and linking components like adders and integrators, which are fundamental in Proportional,...
349

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使用 RBF 标识符和扩展卡尔曼波器的 I2RIS 机器人的模型预测路径集成控制

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  • 1Mojtaba Esfandiari, Pengyuan Du, and Iulian Iordachita are with the Department of Mechanical Engineering and Laboratory for Computational Sensing and Robotics, Johns Hopkins University, Baltimore, MD, 21218, USA.

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PubMed
概括
此摘要是机器生成的。

这项研究使用数据驱动模型和自适应控制来提出眼科机器人蛇的强有力的控制策略. 模型预测路径集成 (MPPI) 控制器在未知的外科环境中提高了性能.

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科学领域:

  • 机器人技术
  • 医疗机器人
  • 控制系统

背景情况:

  • 控制电缆驱动的蛇机器人,特别是用于眼科手术 (例如,I2RIS),由于歇斯底里和摩擦等非线性因素而复杂.
  • 像I2RIS这样的小型机器人缺乏感官反,

研究的目的:

  • 开发和评估眼科机器人蛇的数据驱动模型的自适应控制策略.
  • 在面对模型不确定性和未知的环境时,提高机器人蛇控制的稳定性和性能.

主要方法:

  • 将模型预测路径积分 (MPPI) 控制器应用于基于 I2RIS 的高斯混合模型 (GMM) 和高斯混合回归 (GMR) 的数据驱动模型.
  • 模拟未知的外部干扰和环境负荷,以测试未见的场景中的性能.
  • 使用辐射基函数 (RBF) 网络实现在线不确定性识别,重量由扩展卡尔曼波器 (EKF) 更新.

主要成果:

  • 即使在模拟不确定性的情况下,MPPI控制器也展示了强大的最佳控制解决方案.
  • 适应机制有效地识别和补偿在线模型的不确定性.
  • 与传统的模型预测控制 (MPC) 相比,MPPI显示了计算优势.

结论:

  • 拟议的MPPI自适应控制器提高了眼科机器人蛇的数据驱动模型的可靠性.
  • 这种方法在复杂的外科环境中为控制机器人蛇提供了计算效率高且强大的解决方案.
  • 整合GMM-GMR,RBF和EKF为自适应机器人控制提供了一个强大的框架.