基于imc的电动增压汽油机增压压力控制器标定

IF 1 Q4 AUTOMATION & CONTROL SYSTEMS

Mechatronic Systems and Control Pub Date : 2019-11-26 DOI:10.1115/dscc2019-9038

Baitao Xiao, Kelly Tyler, Stolzenfeld Timothy, Christopher. Lu, D. Bell, M. Janković, J. Buckland, J. Rollinger

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引用次数: 0

摘要

在这项工作中，开发了一种系统的方法来校准电辅助涡轮增压汽油发动机增压压力控制的反馈控制器。实验结果表明，该系统可以用增益-积分器-延迟(GID)模型进行逼近，并且具有鲁棒性。两个控制器被设计为两种不同类型的内部回路控制(扭矩/速度)的电动辅助涡轮增压器。基本的校准方法是基于内部模型控制(IMC)。IMC的应用导致控制器可以自然地映射到经典的反馈控制器。通过继电反馈实验对升压系统进行了表征，得到了系统模型。通过验证的仿真平台验证了标定方法和控制器设计，并观察到良好的性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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IMC-Based Calibration of the Boost Pressure Controller in an Electrically Assisted Turbocharged Gasoline Engine

In this work, a systematic approach is developed to calibrate a feedback controller for boost pressure control of an electrically assisted turbocharged gasoline engine. The information from the experiments indicates the system can be approximated by a Gain-Integrator-Delay (GID) model which can be robustly identified. Two controllers are designed for two different types of inner loop control (torque/speed) of the electrically assisted turbocharger. The underlying calibration methodology is based on Internal Model Control (IMC). The application of IMC leads to controllers that can be naturally mapped to a classic feedback controller. The plant model is obtained by characterizing the boost system with relay feedback experiments. The calibration methodology as well as the controller designs are demonstrated with a validated simulation platform and good performance is observed.

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来源期刊

Mechatronic Systems and Control AUTOMATION & CONTROL SYSTEMS-

CiteScore

1.40

自引率

66.70%

发文量

期刊介绍： This international journal publishes both theoretical and application-oriented papers on various aspects of mechatronic systems, modelling, design, conventional and intelligent control, and intelligent systems. Application areas of mechatronics may include robotics, transportation, energy systems, manufacturing, sensors, actuators, and automation. Techniques of artificial intelligence may include soft computing (fuzzy logic, neural networks, genetic algorithms/evolutionary computing, probabilistic methods, etc.). Techniques may cover frequency and time domains, linear and nonlinear systems, and deterministic and stochastic processes. Hybrid techniques of mechatronics that combine conventional and intelligent methods are also included. First published in 1972, this journal originated with an emphasis on conventional control systems and computer-based applications. Subsequently, with rapid advances in the field and in view of the widespread interest and application of soft computing in control systems, this latter aspect was integrated into the journal. Now the area of mechatronics is included as the main focus. A unique feature of the journal is its pioneering role in bridging the gap between conventional systems and intelligent systems, with an equal emphasis on theory and practical applications, including system modelling, design and instrumentation. It appears four times per year.