优化了滑动模式控制器,用于跟踪灵活接头的轨迹,具有输入和输出噪声的三环操纵器
Muhammad I Azeez1, A M M Abdelhaleem2, S Elnaggar2
1Mechanical Design and Production Engineering Department, Zagazig University, Zagazig, 44519, Egypt. mohibrahiem@eng.zu.edu.eg.
Scientific reports
|August 2, 2023
概括
这项研究引入了一种优化的滑动模式控制器,具有比例积分衍生面 (SMC-PID),增强了多精英人工蜂群算法 (MGABC),以提高机器人机动性能. 控制器在轨迹跟踪,干扰排斥和适应关节灵活性方面表现出色,性能优于现有方法.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 控制系统工程 控制系统工程
- 人工智能的人工智能
背景情况:
- 机器人机动性能对于要求精度和适应性的应用至关重要.
- 现有的控制策略往往在轨迹跟踪,干扰排斥和关节灵活性方面扎.
- 优化控制参数对于提高机器人系统性能至关重要.
研究的目的:
- 为了增强轨迹跟踪,干扰/噪声取消,以及非线性三固链机动 (RLM) 的关节灵活性适应性.
- 开发和实施一个优化的滑动模式控制器与比例积分衍生面 (SMC-PID) 机器人机动控制.
- 使用一个改进的人工蜂群算法与多精英指导 (MGABC) 优化SMC-PID控制器参数.
主要方法:
- 一个优化的滑动模式控制器与比例积分衍生面 (SMC-PID) 被设计为机动控制.
- 采用了改进的人工蜂群算法与多精英指导 (MGABC),以优化滑动表面和切换模式的收益.
- 优化的SMC-PID的性能与粒子群优化 (PSO),遗传算法 (GA),人工蜂群 (ABC),狮优化器 (ALO) 和灰狼优化器 (GWO) 相比进行了基准测试.
主要成果:
- 实现的控制器实现了 0.00691 半径的跟踪误差,并消除了控制力度的聊天.
- 控制器表现出对干扰和噪音的稳定性,客观功能的增加为0.954% (低) 和14.55% (严重).
- 对有效载荷质量变化的弹性得到证实,客观功能从5.726% (低不确定性) 增加到18.887% (严重不确定性).
- 控制器在灵活链路机动 (FLM) 中表现出优异的跟踪性能,最大限度地减少了终端效应器的振动.
结论:
- 由MGABC调整的优化SMC-PID控制器显著提高了机器人机动性能.
- 控制器对外部干扰,噪音和有效载荷变化表现出极好的稳定性.
- 提出的方法有效地解决了关节的灵活性,为更安全,更快速的机器人应用铺平了道路.
相关概念视频
Relative Motion Analysis - Acceleration
379
A slider-crank mechanism converts rotational motion from the crank into linear motion of the slider or vice versa. This mechanism consists of three main parts: the crank, the connecting rod, and the slider. The movement of the slider-crank is an example of general plane motion as the fluctuating angle between the crank and the connecting rod. Consider a segment AB where point A is at the end of the slider and point B is on the diametrically opposite end to point A, on a crack. The variance in...
379
One-Degree-of-Freedom System
517
In mechanical engineering, one-degree-of-freedom systems form the basis of a wide range of electrical and mechanical components. Using these models, engineers can predict the behavior of various parts in a larger system, which gives them insight into how different forces interact with each other.
A one-degree-of-freedom system is defined by an independent variable that determines its state and behavior. One example of a one-degree-of-freedom system is a simple harmonic oscillator, such as a...
A one-degree-of-freedom system is defined by an independent variable that determines its state and behavior. One example of a one-degree-of-freedom system is a simple harmonic oscillator, such as a...
517
Open and closed-loop control systems
813
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...
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...
813
Feedback control systems
346
Feedback control systems are categorized in various ways based on their design, analysis, and signal types.
Linear feedback systems are theoretical models that simplify analysis and design. These systems operate under the principle that their output is directly proportional to their input within certain ranges. For instance, an amplifier in a control system behaves linearly as long as the input signal remains within a specific range. However, most physical systems exhibit inherent nonlinearity...
Linear feedback systems are theoretical models that simplify analysis and design. These systems operate under the principle that their output is directly proportional to their input within certain ranges. For instance, an amplifier in a control system behaves linearly as long as the input signal remains within a specific range. However, most physical systems exhibit inherent nonlinearity...
346
Linear Momentum in Control Volume
1.1K
Newton's second law is applied to obtain the linear momentum in a control volume in a fluid system. According to this law, the rate of change of linear momentum is equal to the sum of external forces acting on the system. When a control volume matches the fluid system at a specific moment, the forces acting on both are identical. Reynolds transport theorem helps explain this by breaking down the system's linear momentum into two components: the rate of change of linear momentum within...
1.1K
PD Controller: Design
282
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,...
282


