动态控制系统H2和H∞鲁棒控制设计方法的比较分析

Anwer J. Ali, H. H. Abbas, H. Bevrani
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引用次数: 0

摘要

本文讨论了利用H2和H∞鲁棒控制方法设计控制系统。将这些方法应用于初级控制系统设计,并介绍了它们的实现和优缺点。H∞控制综合主要实现闭环稳定性,涵盖了一些物理约束和限制。而噪声抑制和干扰衰减则更自然地表达在性能优化中,可以代表H2控制合成问题。本文还将这两种方法应用于多目标系统,研究所设计控制器的稳定性和性能。仿真结果表明,H2控制器跟踪了理想的闭环性能,而H∞控制器保证了闭环系统的鲁棒稳定性。通过鲁棒性和性能伽马指数证明了这些技术的有效性,其中H∞控制器的鲁棒伽马指数为0.8591,表明具有良好的鲁棒性,H2控制器的性能伽马指数为2.1972,表明具有理想的性能。利用MATLAB的鲁棒控制工具箱进行仿真。总体而言,本文表明选择合适的鲁棒控制策略对于设计有效的控制系统至关重要,H2和H∞鲁棒控制方法是实现这一目标的可行选择。
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Comparative Analysis of H2 and H∞ Robust Control Design Approaches for Dynamic Control Systems
This paper discusses using H2 and H∞ robust control approaches for designing control systems. These approaches are applied to elementary control system designs, and their respective implementation and pros and cons are introduced. The H∞ control synthesis mainly enforces closed-loop stability, covering some physical constraints and limitations. While noise rejection and disturbance attenuation are more naturally expressed in performance optimization, which can represent the H2 control synthesis problem. The paper also applies these two methodologies to multi-plant systems to study the stability and performance of the designed controllers. Simulation results show that the H2 controller tracks a desirable closed-loop performance, while the H∞ controller guarantees robust stability for the closed-loop system. The validation of the techniques is demonstrated through the robust and performance gamma index, where the H∞ controller achieved a robust gamma index of 0.8591, indicating good robustness and the H2 controller achieved a performance gamma index of 2.1972, indicating a desirable performance. The robust control toolbox of MATLAB is used for simulation purposes. Overall, the paper shows that selecting a suitable, robust control strategy is crucial for designing effective control systems, and the H2 and H∞ robust control approaches are viable options for achieving this goal.
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审稿时长
16 weeks
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