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Application of quadratic linearization state feedback control with hysteresis reference reformer to improve the dynamic response of interior permanent magnet synchronous motors

机译:二次线性化状态反馈控制在滞后参考重整器提高内部永磁同步电动机动力响应的应用

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Interior Permanent Magnet Synchronous Motors (IPMSMs) offer excellent features, however, the dynamic complexity of these motors has always caused a challenge to control them. In addition, Field Oriented Control (FOC) method developed using Proportional-Integral (PI) regulators, which is the most implemented approach to control the IPMSM, is associated with slow dynamic response and saturation in the controller. This paper presents a novel control algorithm based on State Feedback (SF) regulator for IPMSM drives. The focus of the paper is on simplifying the dynamic of the IPMSM using nonlinear analysis methods and enhancing the response of the designed control approach. The development of the control system starts with linearizing the dynamics of the IPMSM. A linearization approach based on Quadratic Linearization Method (QLM) is proposed and then the linear model is used for designing a state feedback controller optimized by Linear Quadratic Regulator (LQR) method. Applying control constraints is a challenge in systems controlled by state feedback theory. Hence, the proposed control method offers a novel solution based on hysteresis control theory. The proposed hysteresis technique offers several advantages such as lowering overshoot in speed step response in addition to applying constraints and it eliminates all drawbacks of hysteresis controllers. To control the IPMSM in the whole speed range (constant torque and constant power regions), the proposed approach adopts Maximum Torque per Ampere (MTPA) and Voltage Constraint Tracking (VCT) control strategies. Finally, simulations are carried out in MATLAB/SIMULINK environment to compare the performance of the proposed controller with the conventional FOC method. (C) 2019 ISA. Published by Elsevier Ltd. All rights reserved.
机译:内部永磁同步电机(IPMSMS)提供了优异的功能,但是,这些电机的动态复杂性一直导致控制它们的挑战。此外,使用比例积分(PI)调节器开发的现场面向控制(FOC)方法,该方法是控制IPMSM的最具最具实现的方法,与控制器中的慢动态响应和饱和度相关联。本文提出了一种基于IPMSM驱动器的状态反馈(SF)调节器的新型控制算法。纸张的重点是使用非线性分析方法简化IPMSM的动态,提高设计的控制方法的响应。控制系统的开发始于线性化IPMSM的动态。提出了一种基于二次线性化方法(QLM)的线性化方法,然后将线性模型用于设计由线性二次调节器(LQR)方法优化的状态反馈控制器。应用控制约束是由国家反馈理论控制的系统中的挑战。因此,所提出的控制方法提供了一种基于滞后控制理论的新型解决方案。该提议的滞后技术还提供了几种优点,例如除了应用约束之外,除了应用约束之外,还可以降低速度步进响应的过冲,并且它消除了滞后控制器的所有缺点。为了控制整个速度范围(恒扭矩和恒定电源区),所提出的方法采用最大扭矩(MTPA)和电压约束跟踪(VCT)控制策略。最后,在Matlab / Simulink环境中进行了模拟,以比较所提出的控制器与传统FOC方法的性能。 (c)2019 ISA。 elsevier有限公司出版。保留所有权利。

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