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Contribution a la commande predictive non lineaire d'une machine synchrone a aimants permanents.

机译:对同步永磁电机的非线性预测控制的贡献。

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摘要

This project deals with the development of a high performance nonlinear predictive control permanent magnet synchronous motor (PMSM) drive. The objective of the controller is to track the imposed speed profile while regulating the d-axis current. The research work is directed towards improving trajectory tracking capability, stability guarantee, constraints respecting, robustness to parameters variations and disturbance rejection.;The other derived nonlinear predictive law is specified by optimizing a newly defined design cost function. A key feature of the proposed control is that the information about the external perturbation and parameter uncertainties is not needed to enhance the robustness, and a zero steady state error is guaranteed by an integral action which arises naturally in the controller. Here, an anti-windup compensator based on the well known conditional integral method is proposed when the actuator saturations are incorporated in the controller. The stability of the proposed approach is carefully investigated and the stability of closed-loop system has been established using Lyapunov Theory. It is shown that under a mild condition, zero tracking error can be achieved under the proposed scheme.;The validity of the proposed control strategy is experimentally tested on a dSPACE OS1104 Board driving a 0.25-kW PMSM drive. Satisfactory results are obtained regarding trajectory tracking, disturbance rejection and constraints respecting.;The main part of nonlinear predictive control is the system behavior prediction model. The prediction model is obtained by using the Taylor series expansion. However, it's known that the nonlinear predictive control based on the Taylor series expansion, cannot remove completely the steady state error under mismatched parameters and external perturbation. To this end, two types of control algorithms are proposed in this work. First, the nonlinear predictive controller is enhanced by embedding a disturbance observer, which behaves like a PID or PI speed controller according to the relative degree of the speed output. The nonlinear disturbance observer is specified by using a newly defined design function due to the fact that the existing disturbance observer based control technique is limited to systems having the same input and disturbance relative degrees while, for a PMSM, the load torque relative degree is less than the input's one. The closed loop system under the disturbance observer works as a nonlinear controller with an integral action. Consequently, when the control saturates due to the natural physical limitation, the integral part may cause highly oscillations to appear or, even worse, may cause the system to be instable. This phenomenon occurs especially, when large set-point changes are made. To suppress this undesired side effect known as integrator windup, an anti-windup compensator is derived readily by using the actuator saturations in the observer synthesis.
机译:该项目致力于高性能非线性预测控制永磁同步电动机(PMSM)驱动器的开发。控制器的目的是在调节d轴电流的同时跟踪施加的速度曲线。研究工作的重点是提高轨迹跟踪能力,稳定性保证,约束条件约束,参数变化的鲁棒性和干扰抑制能力。通过优化新定义的设计成本函数,确定了其他推导的非线性预测律。所提出的控制的关键特征是不需要有关外部扰动和参数不确定性的信息来增强鲁棒性,并且通过控制器中自然产生的积分作用可以保证零稳态误差。在此,提出了当将执行器饱和结合到控制器中时基于已知的条件积分方法的抗饱和补偿器。仔细研究了所提出方法的稳定性,并利用李雅普诺夫理论建立了闭环系统的稳定性。结果表明,在温和的条件下,该方案可以实现零跟踪误差。该控制策略的有效性在驱动0.25kW PMSM驱动器的dSPACE OS1104板上进行了实验测试。在轨迹跟踪,干扰抑制和约束约束方面取得了令人满意的结果。非线性预测控制的主要部分是系统行为预测模型。通过使用泰勒级数展开获得预测模型。然而,众所周知,基于泰勒级数展开的非线性预测控制不能完全消除参数不匹配和外部扰动下的稳态误差。为此,在这项工作中提出了两种控制算法。首先,通过嵌入扰动观测器来增强非线性预测控制器,该扰动观测器的行为类似于PID或PI速度控制器,具体取决于速度输出的相对程度。由于现有的基于干扰观测器的控制技术仅限于具有相同输入和干扰相对度的系统,而对于PMSM,负载转矩相对度较小,因此使用新定义的设计函数来指定非线性干扰观测器。比输入的干扰观测器下的闭环系统充当具有积分作用的非线性控制器。因此,当控制由于自然的物理限制而达到饱和时,集成部分可能会导致出现强烈的振荡,甚至更糟的是,可能会使系统不稳定。特别是在进行较大的设定值更改时,会出现这种现象。为了抑制这种称为积分器饱和的不良副作用,可以通过在观察者综合中使用执行器饱和来轻松获得抗饱和补偿器。

著录项

  • 作者

    Errouissi, Rachid.;

  • 作者单位

    Universite du Quebec a Chicoutimi (Canada).;

  • 授予单位 Universite du Quebec a Chicoutimi (Canada).;
  • 学科 Engineering Electronics and Electrical.
  • 学位 Ph.D.
  • 年度 2010
  • 页码 271 p.
  • 总页数 271
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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