嵌入式系统在智能控制中的应用与性能评估
摘 要
随着物联网技术的快速发展，嵌入式系统在智能控制领域的应用日益广泛。本研究旨在探讨嵌入式系统在智能控制系统中的性能表现及其优化策略，以提升系统的实时性、可靠性和能效比。研究采用理论分析与实验验证相结合的方法，构建了基于ARM架构的嵌入式智能控制平台，并设计了多组对比实验。通过引入改进的实时调度算法和动态电压频率调节技术，显著提升了系统的响应速度和能源效率。研究创新性地将深度学习算法与嵌入式系统相结合，实现了控制参数的智能优化，为复杂环境下的自适应控制提供了新的解决方案。研究成果不仅为嵌入式系统在智能控制领域的应用提供了理论依据和实践指导，也为相关领域的技术革新提供了重要参考。
关键词：嵌入式系统 智能控制 性能优化
Abstract
With the rapid development of Internet of Things technology, embedded systems are increasingly widely used in the field of intelligent control. This study aims to explore the performance of the embedded system in the intelligent control system and its optimization strategy to improve the real-time performance, reliability and energy efficiency ratio. The combination of theoretical analysis and experimental verification was used to build an embedded intelligent control platform based on ARM architecture, and the multiple sets of comparative experiments were designed. By introducing an improved real-time scheduling algorithm and a dynamic voltage and frequency regulation technology, the response speed and energy efficiency of the system are significantly improved. The research innovatively combines deep learning algorithm with embedded system to realize the intelligent optimization of control parameters, and provides new solutions for adaptive control in complex environments. The research results not only provide the theoretical basis and practical guidance for the application of embedded system in the field of intelligent control, but also provide an important reference for the technical innovation in related fields.
Keyword: Embedded system intelligent control performance optimization
目 录
1绪论 1
1.1研究背景 1
1.2研究意义 1
1.3国内外研究现状分析 1
2嵌入式系统在智能控制中的关键技术 2
2.1实时操作系统在智能控制中的应用 2
2.2嵌入式处理器架构对控制性能的影响 2
2.3通信协议在智能控制系统中的作用 3
2.4嵌入式系统的可靠性设计方法 3
3智能控制系统中嵌入式系统的性能评估方法 4
3.1实时性评估指标体系构建 4
3.2功耗与能效的量化分析方法 4
3.3系统可靠性与稳定性测试方案 5
3.4综合性能评估模型建立与应用 5
4典型应用场景下的案例分析 6
4.1工业自动化领域的应用实践 6
4.2智能家居系统的性能优化案例 6
4.3无人驾驶系统中的嵌入式解决方案 7
5结论 8
参考文献 9
致谢 10
摘 要
随着物联网技术的快速发展，嵌入式系统在智能控制领域的应用日益广泛。本研究旨在探讨嵌入式系统在智能控制系统中的性能表现及其优化策略，以提升系统的实时性、可靠性和能效比。研究采用理论分析与实验验证相结合的方法，构建了基于ARM架构的嵌入式智能控制平台，并设计了多组对比实验。通过引入改进的实时调度算法和动态电压频率调节技术，显著提升了系统的响应速度和能源效率。研究创新性地将深度学习算法与嵌入式系统相结合，实现了控制参数的智能优化，为复杂环境下的自适应控制提供了新的解决方案。研究成果不仅为嵌入式系统在智能控制领域的应用提供了理论依据和实践指导，也为相关领域的技术革新提供了重要参考。
关键词：嵌入式系统 智能控制 性能优化
Abstract
With the rapid development of Internet of Things technology, embedded systems are increasingly widely used in the field of intelligent control. This study aims to explore the performance of the embedded system in the intelligent control system and its optimization strategy to improve the real-time performance, reliability and energy efficiency ratio. The combination of theoretical analysis and experimental verification was used to build an embedded intelligent control platform based on ARM architecture, and the multiple sets of comparative experiments were designed. By introducing an improved real-time scheduling algorithm and a dynamic voltage and frequency regulation technology, the response speed and energy efficiency of the system are significantly improved. The research innovatively combines deep learning algorithm with embedded system to realize the intelligent optimization of control parameters, and provides new solutions for adaptive control in complex environments. The research results not only provide the theoretical basis and practical guidance for the application of embedded system in the field of intelligent control, but also provide an important reference for the technical innovation in related fields.
Keyword: Embedded system intelligent control performance optimization
目 录
1绪论 1
1.1研究背景 1
1.2研究意义 1
1.3国内外研究现状分析 1
2嵌入式系统在智能控制中的关键技术 2
2.1实时操作系统在智能控制中的应用 2
2.2嵌入式处理器架构对控制性能的影响 2
2.3通信协议在智能控制系统中的作用 3
2.4嵌入式系统的可靠性设计方法 3
3智能控制系统中嵌入式系统的性能评估方法 4
3.1实时性评估指标体系构建 4
3.2功耗与能效的量化分析方法 4
3.3系统可靠性与稳定性测试方案 5
3.4综合性能评估模型建立与应用 5
4典型应用场景下的案例分析 6
4.1工业自动化领域的应用实践 6
4.2智能家居系统的性能优化案例 6
4.3无人驾驶系统中的嵌入式解决方案 7
5结论 8
参考文献 9
致谢 10
