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首页> 外文期刊>IEEE Transactions on Vehicular Technology >Sliding-Mode Control of an Ultrahigh-Speed Centrifugal Compressor for the Air Management of Fuel-Cell Systems for Automotive Applications
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Sliding-Mode Control of an Ultrahigh-Speed Centrifugal Compressor for the Air Management of Fuel-Cell Systems for Automotive Applications

机译：用于汽车燃料电池系统空气管理的超高速离心压缩机的滑模控制

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This paper presents the modeling and control of an ultrahigh-speed centrifugal compressor for the air management of proton exchange membrane fuel-cell (PEMFC) systems. Centrifugal compressors have the advantages of compactness, high efficiency, and low noise, compared with other kinds of displacement compressors. Moreover, ultrahigh-speed technology can also reduce the size and weight of the compressor, which makes it more feasible for automotive applications. However, the adoption of a centrifugal compressor results in control being difficult because of coupling between mass flow and pressure. In this paper, a neural network model of the compressor is developed, and a decentralized sliding-mode controller based on twisting and super twisting algorithms is proposed and tested to control the compressor pressure and mass flow. The experimental results show good dynamic characteristics and faster response compared with conventional proportional–integral (PI) control.
机译：本文介绍了用于质子交换膜燃料电池（PEMFC）系统空气管理的超高速离心压缩机的建模和控制。与其他类型的容积式压缩机相比，离心式压缩机具有紧凑，高效和低噪音的优点。而且，超高速技术还可以减小压缩机的尺寸和重量，这使其在汽车应用中更加可行。然而，由于质量流量和压力之间的耦合，采用离心压缩机导致控制困难。本文建立了压缩机的神经网络模型，提出了基于扭曲和超扭曲算法的分散式滑模控制器，并进行了测试，以控制压缩机的压力和质量流量。与常规比例积分（PI）控制相比，实验结果显示出良好的动态特性和更快的响应。

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