基于和的自调稳健控制设计,用于欧勒拉格兰系统.
Hazin Inci1, Erman Selim2, Enver Tatlicioglu2
1Electrical & Electronics Engineering, Adiyaman University, Adiyaman, Turkey.
ISA transactions
|November 2, 2024
概括
本研究为欧勒-拉格朗日机械系统引入了一种新的无模型强大的控制器,解决参数不确定性和干扰. 控制器确保稳定性并提高性能,在双旋转系统和移动机器人上得到验证.
科学领域:
- 机器人和控制系统 机器人和控制系统
- 机械工程 机械工程
- 应用数学 应用数学 应用数学
背景情况:
- 以欧勒-拉格朗日 (EL) 形式控制机械系统是具有挑战性的,因为参数不确定性和外部干扰,往往导致性能降低和稳定性问题.
- 现有的强大和高增益的控制方法可能会受到聊的影响,影响系统性能和可靠性.
- 无模型方法对于精确模型不可用或难以获得的系统是可取的.
研究的目的:
- 设计和分析一种新的,连续的,无模型的强大控制器,用于由欧勒-拉格朗奇方程描述的机械系统.
- 为了解决参数估计错误和外部干扰,而不需要精确的系统模型.
- 为了确保闭环稳定性和提高控制性能,同时避免控制器聊天.
主要方法:
- 一个基于和功能的,连续强大的控制器是为EL系统设计的.
- 基于Lyapunov的论点被用来严格证明闭环系统的稳定性.
- 一个自适应增益调整算法被开发为一个附加功能,以简化控制器调整.
- 通过对双旋转机多输入多输出 (TRMS) 系统的模拟和在移动机器人平台上的实验测试来验证控制器的有效性.
主要成果:
- 拟议的无型强大的控制器有效地管理了EL系统中的参数不确定性和干扰.
- 控制器使用连续可分化的术语来防止聊天,确保流的控制输入.
- 在TRMS模型上的模拟和在移动机器人上的实验表明了令人满意的性能.
- 实验结果显示,移动机器人的滚动/俯冲误差小于0.5°,曲折误差小于1°.
结论:
- 开发的基于和功能的无型强大控制器为控制复杂的机械系统提供了稳定有效的解决方案.
- 适应性增益调整算法简化了控制器的实现和调整.
- 控制器的实际可行性和性能通过模拟和现实世界机器人应用程序得到证实.
更多相关视频
09:01Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques
Published on: April 4, 2017
8.6K
08:18WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control
Published on: August 15, 2020
4.9K
相关概念视频
Feedback control systems
291
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...
291
Second Order systems II
90
In an underdamped second-order system, where the damping ratio ζ is between 0 and 1, a unit-step input results in a transfer function that, when transformed using the inverse Laplace method, reveals the output response. The output exhibits a damped sinusoidal oscillation, and the difference between the input and output is termed the error signal. This error signal also demonstrates damped oscillatory behavior. Eventually, as the system reaches a steady state, the error diminishes to zero.
90
Second Order systems I
136
A servo system exemplifies a second-order system, featuring a proportional controller and load elements that ensure the output position aligns with the input position. The relationship between these components is described by a second-order differential equation. Applying the Laplace transform under zero initial conditions yields the transfer function, showing how inputs are converted to outputs in the system.
By reinterpreting the system, one can derive the closed-loop transfer function, which...
By reinterpreting the system, one can derive the closed-loop transfer function, which...
136
Open and closed-loop control systems
660
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...
660
Control Systems
1.1K
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...
At the heart...
1.1K
Control System Problem
108
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...
108
