摘 要
本研究针对动态负载环境下自适应控制系统的性能评估问题展开深入探讨。随着工业自动化程度的不断提高，控制系统面临日益复杂的工况变化，传统固定参数控制策略已难以满足实际需求。为此，本文提出了一种基于模型参考自适应控制的改进算法，通过引入在线参数估计和增益调度机制，有效提升了系统在动态负载条件下的鲁棒性和跟踪精度。研究采用理论分析与实验验证相结合的方法，首先建立了包含不确定性的系统数学模型，随后设计了具有自适应律的控制器结构。为验证所提方法的有效性，搭建了包含伺服电机和可变惯量负载的实验平台，在不同工况下进行了对比测试。
关键词：自适应控制 动态负载 增益调度
Abstract
In this study, the performance evaluation of adaptive control system in dynamic load environment is discussed. With the continuous improvement of industrial automation degree, the control system is faced with increasingly complex working conditions changes, and the traditional fixed parameter control strategy has been difficult to meet the actual demand. To this end, this paper proposes an improved algorithm based on model reference adaptive control, which effectively improves the robustness and tracking accuracy of the system under dynamic load conditions by introducing online parameter estimation and gain scheduling mechanism. Combining theoretical analysis and experimental verification, we first built the system mathematical model containing uncertainty, and then designed the controller structure with adaptive law. In order to verify the effectiveness of the proposed method, an experimental platform including servo motor and variable inertia load is built and tested under different working conditions.
Keyword: adaptive control dynamic load Gain scheduling
目 录
1绪论 1
1.1研究背景 1
1.2研究现状 1
1.3研究方法与创新点 2
2动态负载特性对自适应控制系统的影响分析 2
2.1动态负载的数学模型构建 2
2.2负载变化对系统稳定性的影响机制 3
2.3不同负载条件下的系统响应特性 3
3自适应控制算法在动态负载下的优化设计 4
3.1基于模型参考的自适应控制策略改进 4
3.2参数自适应调节机制的优化方法 5
3.3抗干扰能力提升的控制算法设计 5
4动态负载下自适应控制系统的性能评估体系构建 6
4.1性能评估指标体系建立 6
4.2仿真实验平台设计与实现 6
4.3系统性能评估结果与分析 7
5结论 7
参考文献 9
致谢 10
本研究针对动态负载环境下自适应控制系统的性能评估问题展开深入探讨。随着工业自动化程度的不断提高，控制系统面临日益复杂的工况变化，传统固定参数控制策略已难以满足实际需求。为此，本文提出了一种基于模型参考自适应控制的改进算法，通过引入在线参数估计和增益调度机制，有效提升了系统在动态负载条件下的鲁棒性和跟踪精度。研究采用理论分析与实验验证相结合的方法，首先建立了包含不确定性的系统数学模型，随后设计了具有自适应律的控制器结构。为验证所提方法的有效性，搭建了包含伺服电机和可变惯量负载的实验平台，在不同工况下进行了对比测试。
关键词：自适应控制 动态负载 增益调度
Abstract
In this study, the performance evaluation of adaptive control system in dynamic load environment is discussed. With the continuous improvement of industrial automation degree, the control system is faced with increasingly complex working conditions changes, and the traditional fixed parameter control strategy has been difficult to meet the actual demand. To this end, this paper proposes an improved algorithm based on model reference adaptive control, which effectively improves the robustness and tracking accuracy of the system under dynamic load conditions by introducing online parameter estimation and gain scheduling mechanism. Combining theoretical analysis and experimental verification, we first built the system mathematical model containing uncertainty, and then designed the controller structure with adaptive law. In order to verify the effectiveness of the proposed method, an experimental platform including servo motor and variable inertia load is built and tested under different working conditions.
Keyword: adaptive control dynamic load Gain scheduling
目 录
1绪论 1
1.1研究背景 1
1.2研究现状 1
1.3研究方法与创新点 2
2动态负载特性对自适应控制系统的影响分析 2
2.1动态负载的数学模型构建 2
2.2负载变化对系统稳定性的影响机制 3
2.3不同负载条件下的系统响应特性 3
3自适应控制算法在动态负载下的优化设计 4
3.1基于模型参考的自适应控制策略改进 4
3.2参数自适应调节机制的优化方法 5
3.3抗干扰能力提升的控制算法设计 5
4动态负载下自适应控制系统的性能评估体系构建 6
4.1性能评估指标体系建立 6
4.2仿真实验平台设计与实现 6
4.3系统性能评估结果与分析 7
5结论 7
参考文献 9
致谢 10
