相关实验视频
Updated: Jun 11, 2025

08:12
Experimental Methods to Study Human Postural Control
Published on: September 11, 2019
9.4K
通过对基于CPG的控制器的张力反来提高肌肉骨四足运动中的姿势稳定性
Hiroaki Tanaka1, Ojiro Matsumoto1, Takumi Kawasetsu2
1Graduate School of Engineering Science, Osaka University, Osaka, Japan.
Bioinspiration & biomimetics
|October 4, 2024
概括
使用软气动人工肌肉 (PAM) 紧张的中央模式生成器 (CPG) 控制器提高了四足机器人在不平坦地形上的稳定性. 这种自身感知反增强了在充满挑战的环境中运动适应能力和跑步速度.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 控制系统 控制系统
- 生物力学 生物力学
背景情况:
- 中央模式发生器 (CPG) 控制器提高了四足动物的移动适应性.
- 传统的CPG使用姿势角度反,对于柔软的肌肉骨机器人来说,反速度很慢.
- 自身感知信息,如肌肉紧张,为动态稳定提供更快的反.
研究的目的:
- 为四足机器人提出基于CPG的控制器,使用软气动人工肌肉 (PAM) 紧张.
- 为了研究张力反对体姿势稳定和运动增强的有效性.
- 为了评估控制器在平坦和不平坦的地形上的性能.
主要方法:
- 开发了一个基于CPG的控制器,将PAMs的张力反纳入其中.
- 使用四足动物模型进行了数值模拟.
- 通过PAM驱动的肌肉骨四足机器人进行实验.
主要成果:
- 紧张反对平坦地形的姿势稳定无效.
- 紧张反被证明是有效的姿势稳定在不平坦的地形.
- 拟议的控制器显著提高了在不平坦的地形上运行速度.
结论:
- 使用 PAM 张力的 CPG 控制器可提高软机器人在不平坦地形上的机动性.
- 紧张反提供了对干扰的快速反应,改善了动态稳定性.
- 这种方法促进了肌肉骨四足机器人的实际应用.
相关概念视频
PD Controller: Design
194
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,...
Designing a continuous-data controller requires selecting and linking components like adders and integrators, which are fundamental in Proportional,...
194
Time-Domain Interpretation of PD Control
85
Proportional-Derivative (PD) control is a widely used control method in various engineering systems to enhance stability and performance. In a system with only proportional control, common issues include high maximum overshoot and oscillation, observed in both the error signal and its rate of change. This behavior can be divided into three distinct phases: initial overshoot, subsequent undershoot, and gradual stabilization.
Consider the example of control of motor torque. Initially, a positive...
Consider the example of control of motor torque. Initially, a positive...
85
Effects of feedback
527
Feedback in control systems plays a critical role in shaping various operational parameters, extending beyond simple error reduction to influence stability, bandwidth, gain, impedance, and sensitivity. Understanding these effects requires examining a basic feedback system characterized by defined input, output, error, and feedback signals.
Feedback significantly modifies the gain of a control system. The gain of a system without feedback is altered by a factor of one plus GH, where G represents...
Feedback significantly modifies the gain of a control system. The gain of a system without feedback is altered by a factor of one plus GH, where G represents...
527
Controller Configurations
88
Controller configurations are crucial in a car's cruise control system because they manage speed over time to maintain a consistent pace regardless of road conditions, thereby meeting design goals. In traditional control systems, fixed-configuration design involves predetermined controller placement. System performance modifications are known as compensation.
Control-system compensation involves various configurations, most commonly series or cascade compensation, in which the controller...
Control-system compensation involves various configurations, most commonly series or cascade compensation, in which the controller...
88
PI Controller: Design
219
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...
219
Control System Problem
110
In an open-loop system, such as a basic thermostat, the poles of the transfer function influence the system's response but do not determine its stability. However, when feedback is introduced to form a closed-loop system, such as an advanced thermostat that adjusts heating based on room temperature, stability is governed by the new poles of the closed-loop transfer function.
When forming a closed-loop system, issues can arise if the poles cross into the unstable region, leading to potential...
When forming a closed-loop system, issues can arise if the poles cross into the unstable region, leading to potential...
110

