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Control of the Electric Load Simulator Using Fuzzy Multiresolution Wavelet Neural Network with Dynamic Compensation

机译:具有动态补偿的模糊多分辨率小波神经网络对电负载模拟器的控制

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摘要

A fuzzy multiresolution wavelet neural network (FMWNN) controller with dynamic compensation (DC) is proposed to address the complexities of the electric load simulator (ELS). The FMWNN acts as a main torque tracking controller, which takes full advantage of the merits of an ideal sliding mode, fuzzy rules, and multiresolution WNN. The fuzzy algorithm is used to dynamically adjust the weights of the WNN and effectively accelerate the convergence rate. In addition, the DC controller is designed to greatly decrease the effect of the approximation error and guarantee the system stability in the sense of the Lyapunov theory. Finally, the proposed algorithms are carried out on the semiphysical simulation platform, the precision and superiority of which are comparatively verified based on the simulation results.
机译:提出了一种具有动态补偿(DC)的模糊多分辨率小波神经网络(FMWNN)控制器,以解决电负载模拟器(ELS)的复杂性。 FMWNN充当主要的扭矩跟踪控制器,它充分利用了理想滑模,模糊规则和多分辨率WNN的优点。模糊算法用于动态调整WNN的权重,有效提高收敛速度。此外,直流控制器的设计可大大降低逼近误差的影响,并从Lyapunov理论的意义上保证系统的稳定性。最后,在半物理仿真平台上对算法进行了仿真,并基于仿真结果对算法的精度和优越性进行了比较验证。

著录项

  • 来源
    《Shock and vibration》 |2016年第3期|3574214.1-3574214.10|共10页
  • 作者单位

    Nanjing Univ Sci & Technol, Sch Mech Engn, Xiaolingwei 200, Nanjing 210014, Jiangsu, Peoples R China;

    Nanjing Univ Sci & Technol, Sch Mech Engn, Xiaolingwei 200, Nanjing 210014, Jiangsu, Peoples R China;

    Nanjing Univ Sci & Technol, Sch Mech Engn, Xiaolingwei 200, Nanjing 210014, Jiangsu, Peoples R China;

    Nanjing Univ Sci & Technol, Sch Mech Engn, Xiaolingwei 200, Nanjing 210014, Jiangsu, Peoples R China;

    Nanjing Univ Sci & Technol, Sch Mech Engn, Xiaolingwei 200, Nanjing 210014, Jiangsu, Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
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