基于学习的复合智能跟踪控制,用于离散时间重复过程
Rongni Yang1, Jianqiang Hao1, Peng Shi2
1School of Control Science and Engineering, Shandong University, Jinan, Shandong 250061, China.
ISA transactions
|March 27, 2025
概括
一个新的复合代学习控制 (ILC) 算法增强了重复的离散时间系统的跟踪性能. 这种两相方法,结合增强适应和滑动模式控制,提高了收和精度.
科学领域:
- 控制系统工程 控制系统工程
- 机器人和自动化机器人与自动化
- 信号处理 信号处理
背景情况:
- 重复的离散时间系统需要精确的跟踪控制有限时间的任务.
- 现有的代学习控制 (ILC) 方法在实现快速融合和高精度方面可能面临挑战.
研究的目的:
- 为具有重复任务的离散时间系统开发一种新的复合代学习控制 (ILC) 算法.
- 通过整合两个不同的控制阶段来提高跟踪性能.
主要方法:
- 一个两阶段的智能学习过程:增益适应型代学习控制 (GAILC) 和滑动模式代学习控制 (SMILC).
- 阶段切换是由跟踪错误动态决定的.
- GAILC使用基于预测的自适应增益序列来实现快速的错误收.
- SMILC采用了一种新的滑动表面和分数功率术语,以实现高跟踪精度.
主要成果:
- 拟议的复合ILC算法证明了更好的跟踪性能.
- 包括直流电机在内的比较模拟验证了GAILC-SMILC战略的有效性.
- 两阶段的方法实现了快速融合和跟踪的高精度.
结论:
- 开发的复合ILC策略为重复的离散时间系统提供了显著的优势.
- 智能双阶段学习过程有效地解决了跟踪挑战.
- 该方法在需要精确的重复运动控制的应用中表现有前途.
相关概念视频
Control Systems
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...
Control Systems: Applications
Electrical engineering plays a pivotal role in our daily lives, with control systems at the heart of many applications, from home appliances to sophisticated space shuttles. Control systems manage and regulate the behavior of devices and processes, ensuring they function safely, correctly, and efficiently.
In modern vehicles, control systems manage various functions to enhance performance and safety. The steering wheel and accelerator are primary inputs in a car's control system. The direction...
In modern vehicles, control systems manage various functions to enhance performance and safety. The steering wheel and accelerator are primary inputs in a car's control system. The direction...
Feedback control systems
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...
Control System Problem
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...
Automatic Processing and Automatic Social Behavior
Automatic processing refers to the cognitive operations that occur without conscious intent or awareness, playing a fundamental role in shaping social cognition and behavior. These processes enable individuals to navigate complex social environments efficiently by relying on mental shortcuts and pre-existing knowledge structures known as schemas. One of the most influential mechanisms underlying automatic processing is priming, which subtly activates mental representations through exposure to...


