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FEED-FORWARD NEURAL NETWORK FOR DIRECT TORQUE CONTROL OF INDUCTION MOTOR

机译:异步电动机直接转矩控制的前馈神经网络

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摘要

PI controllers have been widely used in industrial systems application, because they have a simple structure and offer a satisfactory performance for a wide range operation. However, for varieties of plant parameters and the nonlinear operating condition, fixed gain PI controllers cannot provide the desired control performance. In this paper, advanced PI controller was utilized to control the speed of the induction motor in Direct Torque Control (DTC) for electric propulsion application. The proposed method is developed from conventional PI controller combined with feed-forward neural networks (FFNN). The FFNN is used to tune the gain of PI controller. The effectiveness of the complete proposed control scheme is clarified with a variation of speed reference and load torque applied to the motor. Load torque of induction motor depends on the speed rotation and pitch of propeller. Simulation results show the FFNN tuning technique provides better speed control performance.
机译:PI控制器结构简单,可在广泛的范围内提供令人满意的性能,因此已广泛用于工业系统应用中。但是,对于各种工厂参数和非线性运行条件,固定增益PI控制器无法提供所需的控制性能。在本文中,先进的PI控制器用于直接转矩控制(DTC)中的感应电动机的速度,以用于电动推进。所提出的方法是从常规PI控制器与前馈神经网络(FFNN)结合而开发的。 FFNN用于调整PI控制器的增益。通过改变速度参考值和施加到电动机的负载转矩,可以阐明完整建议控制方案的有效性。感应电动机的负载转矩取决于螺旋桨的转速和螺距。仿真结果表明,FFNN调整技术可提供更好的速度控制性能。

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    Department of Electrical Engineering Sepuluh Nopember Institute of Technology (ITS) Sukolilo, P.O. Box I/SB, Surabaya-Indonesia 60111,Department of Electrical Engineering Bhayangkara University Surabaya-Indonesia, Indonesia;

    Department of Electrical Engineering Sepuluh Nopember Institute of Technology (ITS) Sukolilo, P.O. Box I/SB, Surabaya-Indonesia 60111;

    Department of Electrical Engineering Sepuluh Nopember Institute of Technology (ITS) Sukolilo, P.O. Box I/SB, Surabaya-Indonesia 60111;

    Department of Electrical Engineering Sepuluh Nopember Institute of Technology (ITS) Sukolilo, P.O. Box I/SB, Surabaya-Indonesia 60111;

    Graduate School of Science and Technology Kumamoto University 39-1, Kurokami 2-chome, Kumamoto 860-8555, Japan;

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  • 原文格式 PDF
  • 正文语种 eng
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  • 关键词

    PI controller; direct torque control; neural network; electric propulsion;

    机译:PI控制器直接转矩控制;神经网络;电动推进;

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