基于多带宽观测器的自适应鲁棒压力控制,用于具有不确定性和测量噪声的电动液压制动系统

IF 5.4 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS Control Engineering Practice Pub Date : 2024-10-09 DOI:10.1016/j.conengprac.2024.106122
Wenliang Cao, Zhicheng He, Aiguo Cheng, Qihang Zhao, Hailun Tan
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引用次数: 0

摘要

电液制动系统(EHB)的精确压力调节对提高汽车制动性能至关重要。然而,元件磨损和压力测量噪声会导致模型参数和受控状态漂移,从而引起系统颤振。这种非线性和不确定的状态会大大降低压力控制性能。受此启发,文章提出了一种基于受控状态重构的自适应鲁棒压力控制技术。首先,建立了用于控制器设计的简化动力学模型,该模型能有效捕捉 EHB 的基本特征。其次,设计了一种能够抑制噪声的多带宽扩展状态观测器(MBESO),用于重建受控状态,包括未知干扰和无法测量的 EHB 压力变化率。第三,引入了基于 MBESO 的自适应鲁棒压力控制技术,根据控制和观测误差更新控制增益和鲁棒因子。此外,还在频域分析了所提控制策略的整体性能,并通过 Lyapunov 方法证明了闭环稳定性。最后,通过在硬件在环测试台上进行正弦和阶跃响应实验,验证了所提算法在动态和静态情况下的压力控制精度和鲁棒性。结果表明,在正弦条件下,与传统方法相比,所提出的算法最多可将动态压力跟踪误差降低 62%,在阶跃响应条件下,稳态误差保持在 1 bar 以内。
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Multi-bandwidth observer-based adaptive robust pressure control for electro-hydraulic brake system with uncertainties and measurement noise
Accurate pressure regulation of electro-hydraulic brake system (EHB) is essential for enhancing braking performance in automobiles. However, component wear and pressure measurement noise can cause model parameters and controlled states to drift, resulting in system chattering. This nonlinear and uncertain state can significantly degrade pressure control performance. Motivated by this, the article presents a controlled state reconstruction-based adaptive robust pressure control technique with noise suppression. Firstly, a reduced dynamics model is established for controller design, which effectively captures the fundamental characteristic of the EHB. Secondly, a multi-bandwidth extended state observer (MBESO) capable of noise suppression is designed to reconstruct controlled states, including unknown disturbances and unmeasured pressure change rates of the EHB. Thirdly, an MBESO-based adaptive robust pressure control technique is introduced, where the control gain and robust factor are updated based on control and observation errors. In addition, the overall performance of the proposed control strategy is analyzed in the frequency domain, and close-loop stability is demonstrated via the Lyapunov method. Finally, the pressure control precision and robustness of the proposed algorithm are validated in both dynamic and static scenarios through sinusoidal and step-response experiments on a hardware-in-loop test bench. The results indicate that the proposed algorithm reduces dynamic pressure-tracking error by up to 62% compared to traditional method under sinusoidal conditions, with steady-state error remaining within 1 bar under step-response conditions.
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来源期刊
Control Engineering Practice
Control Engineering Practice 工程技术-工程:电子与电气
CiteScore
9.20
自引率
12.20%
发文量
183
审稿时长
44 days
期刊介绍: Control Engineering Practice strives to meet the needs of industrial practitioners and industrially related academics and researchers. It publishes papers which illustrate the direct application of control theory and its supporting tools in all possible areas of automation. As a result, the journal only contains papers which can be considered to have made significant contributions to the application of advanced control techniques. It is normally expected that practical results should be included, but where simulation only studies are available, it is necessary to demonstrate that the simulation model is representative of a genuine application. Strictly theoretical papers will find a more appropriate home in Control Engineering Practice''s sister publication, Automatica. It is also expected that papers are innovative with respect to the state of the art and are sufficiently detailed for a reader to be able to duplicate the main results of the paper (supplementary material, including datasets, tables, code and any relevant interactive material can be made available and downloaded from the website). The benefits of the presented methods must be made very clear and the new techniques must be compared and contrasted with results obtained using existing methods. Moreover, a thorough analysis of failures that may happen in the design process and implementation can also be part of the paper. The scope of Control Engineering Practice matches the activities of IFAC. Papers demonstrating the contribution of automation and control in improving the performance, quality, productivity, sustainability, resource and energy efficiency, and the manageability of systems and processes for the benefit of mankind and are relevant to industrial practitioners are most welcome.
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