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Study of Nonlinear Characteristics and Model Based Control for Proportional Electromagnet

机译:比例电磁体的非线性特性和基于模型的控制研究

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The nonlinear characteristics of proportional electromagnet caused by hysteresis bring great difficulties on its accurate position tracking control by current. In order to enhance the practicability and reliability of long stroke electromagnet in case of position sensor fault and improve the position tracking performance during current closed-loop control, experimental investigations on the electromagnet actuator hysteresis characteristics of diesel engine governor are carried out to analyze the system dynamic features and the effects of hysteresis on actuator position tracking performance. It is clear that hysteresis can significantly hinder the accurate position control of the electromagnet actuator. Consequently, the fuel injection will be delayed, which will lead to hysteresis of engine speed control as well as deterioration of engine performance. In this paper, the hysteresis phenomenon of an actuator and its influence on control performance of engine are investigated. The model of proportional electromagnet actuator (PEA) is established and the hysteresis principle is analyzed. Then the inverse model control strategy based on neural network (NN) is proposed to linearize the transfer behavior of electromagnet and compensate for the magnet hysteresis. Rapid control prototyping (RCP) experiment based on MicroAuto Box is further implemented to validate the real-time performance of the proposed control strategy in D6114 diesel engine. The results show that the speed fluctuation (SF) under steady-state conditions (especially under idle speed condition) and the recovery time as well as the overshoot under transient conditions are significantly improved. This makes it possible to develop redundant electromagnet driving control strategy.
机译:由磁滞引起的比例电磁铁的非线性特性给电流的精确位置跟踪控制带来很大困难。为了提高长行程电磁铁在位置传感器故障时的实用性和可靠性,并提高电流闭环控制过程中的位置跟踪性能,针对柴油机调速器的电磁铁执行器磁滞特性进行了实验研究,对系统进行了分析。动态特性以及磁滞对执行器位置跟踪性能的影响。显然,磁滞会严重阻碍电磁致动器的精确位置控制。因此,燃料喷射将被延迟,这将导致发动机速度控制的滞后以及发动机性能的劣化。本文研究了执行器的磁滞现象及其对发动机控制性能的影响。建立了比例电磁致动器(PEA)的模型,并分析了其磁滞原理。然后提出了一种基于神经网络的逆模型控制策略,以线性化电磁体的传递行为并补偿磁体的磁滞。进一步实施了基于MicroAuto Box的快速控制原型(RCP)实验,以验证所提出的D6114柴油机控制策略的实时性能。结果表明,稳态条件下(特别是在怠速条件下)的速度波动(SF)和恢复时间以及瞬态条件下的过冲都得到了显着改善。这使得可以开发冗余的电磁体驱动控制策略。

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