相关概念视频
Linear Approximation in Time Domain
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Nonlinear systems often require sophisticated approaches for accurate modeling and analysis, with state-space representation being particularly effective. This method is especially useful for systems where variables and parameters vary with time or operating conditions, such as in a simple pendulum or a translational mechanical system with nonlinear springs.
For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length,...
For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length,...
75
Feedback control systems
298
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...
298
Linear Approximation in Frequency Domain
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Linear systems are characterized by two main properties: superposition and homogeneity. Superposition allows the response to multiple inputs to be the sum of the responses to each individual input. Homogeneity ensures that scaling an input by a scalar results in the response being scaled by the same scalar.
In contrast, nonlinear systems do not inherently possess these properties. However, for small deviations around an operating point, a nonlinear system can often be approximated as linear....
In contrast, nonlinear systems do not inherently possess these properties. However, for small deviations around an operating point, a nonlinear system can often be approximated as linear....
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Linear time-invariant Systems
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A system is linear if it displays the characteristics of homogeneity and additivity, together termed the superposition property. This principle is fundamental in all linear systems. Linear time-invariant (LTI) systems include systems with linear elements and constant parameters.
The input-output behavior of an LTI system can be fully defined by its response to an impulsive excitation at its input. Once this impulse response is known, the system's reaction to any other input can be...
The input-output behavior of an LTI system can be fully defined by its response to an impulsive excitation at its input. Once this impulse response is known, the system's reaction to any other input can be...
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Time-Domain Interpretation of PD Control
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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...
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Second Order systems II
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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.
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干扰观察者动态线性化基于模型的自由自适应控制对离散时间非线性系统.
IEEE transactions on cybernetics
|August 12, 2024
概括
一个新的无模型自适应控制 (MFAC) 方案在非线性系统中使用干扰观察者动态线性化 (DL). 这种数据驱动的方法通过有效估计和补偿系统干扰和不确定性来加强控制.
科学领域:
- 控制系统工程 控制系统工程
- 非线性系统动态 非线性系统动态
- 适应性控制理论 适应性控制理论
背景情况:
- 离散时间非线性系统经常面临由于未建模的动态,外部干扰和参数不确定性的挑战.
- 传统的控制方法需要精确的系统模型,而对于复杂的非线性系统来说,这些模型很难获得.
- 无模型自适应控制 (MFAC) 提供了一个有前途的替代方案,仅依赖于系统输出输入数据.
研究的目的:
- 提出一种基于干扰观察者动态线性化 (DL) 的无模型自适应控制 (MFAC) 方案.
- 解决对受未知的干扰和不确定性的离散时间非线性系统的控制问题.
- 开发一种纯粹基于数据的控制策略,不需要精确的系统模型.
主要方法:
- 使用DL技术构建基于部分形态动态线性化的干扰观察器 (PDO).
- 通过最小化估计标准函数来开发一个自适应的观察者增益更新算法.
- 基于PDO的MFAC方案的形成以及使用收缩映射原理对其边界稳定性的严格分析.
主要成果:
- 拟议的基于PDO的MFAC方案有效地弥补了离散时间非线性系统中的干扰和不确定性.
- 控制系统和干扰观察器的设计仅使用系统的输入-输出数据,表明纯粹基于数据的方法.
结论:
- 拟议的基于干扰观察者动态线性化 (DL) 的无模型自适应控制 (MFAC) 方案为控制离散时间非线性系统提供了有效和数据驱动的解决方案.
- 该方法的有效性和实际适用性通过数值模拟和现实世界的车辆转向实验得到证实.


