非线性模型预测控制-与深度神经网络交叉合控制为多液压系统同步控制提供前
Dongyi Li1, Kun Lu2, Yong Cheng3
1Institute of Plasma Physics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China; University of Science and Technology of China, Hefei 230026, China; Lappeenranta University of Technology, Lappeenranta 53850, Finland; Anhui Extreme Environment Robot Engineering Laboratory, Hefei 230031, China.
本研究介绍了一种用于多液压系统 (MHS) 的新型控制器,以提高同步性. 非线性模型预测控制-交叉合控制与深度神经网络前 (NMPC-CCC-DNNF) 显著减少同步错误并增强干扰拒绝.
科学领域:
- 控制系统工程 控制系统工程
- 液压系统 水力系统
- 非线性控制理论 不线性控制理论
背景情况:
- 多液压系统 (MHS) 由于非线性和干扰而存在复杂的同步挑战.
- 现有的控制算法经常在MHS中与未建模的动态和外部噪声作斗争.
研究的目的:
- 开发一种先进的控制算法,用于在非线性不对称MHS中进行精确的同步.
- 为了提高MHS控制中的干扰排斥能力.
- 通过模拟来验证拟议控制器的性能.
主要方法:
- 建立和非线性反线性化一个一般的非线性不对称的MHS状态空间模型.
- 非线性模型预测控制 (NMPC) 与交叉合控制 (CCC) 的整合.
- 介绍了一种基于反向模型的新型干扰补偿器和一个深度神经网络前 (DNNF) 组件.
主要成果:
- 拟议的非线性模型预测控制-交叉合控制与深度神经网络前 (NMPC-CCC-DNNF) 控制器表现出卓越的性能.
- 与其他控制器相比,实现了高达60.8%的同步根平均平方误差 (RMSE) 的显著降低.
- 有效地处理未建模的错误和噪声,证实了强大的干扰排斥.
结论:
- NMPC-CCC-DNNF控制器为MHS同步提供了一个强大的和有效的解决方案.
- 整合NMPC,CCC和DNNF提供了增强的控制精度和干扰减弱.
- 模拟结果验证了与现有方法相比显著的性能改善.
更多相关视频
06:45Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
Published on: October 28, 2022
09:04A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump
Published on: June 1, 2022
相关概念视频
Open and closed-loop control systems
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...
Feedback control systems
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...
Multi-input and Multi-variable systems
In the absence...
PD Controller: Design
Designing a continuous-data controller requires selecting and linking components like adders and integrators, which are fundamental in Proportional,...
Time-Domain Interpretation of PD Control
Consider the example of control of motor torque. Initially, a positive...
Controller Configurations
Control-system compensation involves various configurations, most commonly series or cascade compensation, in which the controller...
