Scholarlink

<p>Gyroscopes play a crucial role in an extensive range of applications such as navigation systems, motion control, virtual reality, and many electronic devices. The efficiency of gyroscopes relies on the accurate measurement and control of rotational motion. Gyroscopes exhibit nonlinear behavior, especially at high angular velocities or high temperatures. Also, the performance of gyroscopes is violated by various disturbances such as vibration, electromagnetic interference, integration with other sensors, cross-axis sensitivity, temperature changes, mechanical imperfections, and aging components. To cope with these challenges, in this paper, an applied hybrid controller is developed. First, a basic linear quadratic regulator (LQR) is designed using the basic dynamics of the gyroscope. The dynamics uncertainties are modeled by the use of type-3 (T3) fuzzy logic systems (FLSs), and then a modified sliding mode controller (SMC) is designed. A soft switching mechanism is introduced based on adaptive T3-FLSs. The parameters of the T3-FLS in the identification sections and the T3-FLS in the switching section are online updated through a stability theorem. The feasibility is demonstrated by an experimental implementation. Also, by several simulations, the accuracy of tracking and robustness are examined. It is demonstrated that the suggested hybrid controller results in good efficiency in both simulation and real-world environments. (see the video of the experimental implementation at <a href="https://youtu.be/x3ZQCsKPeQg">here</a>)</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

An Applied Type-3 Fuzzy Controller for Gyroscopes

  • 期刊论文

  • 发表日期：

    2025年1月6日

查看全文
  • Shijie Li,
  • Ardashir Mohammadzadeh,
  • Chunwei Zhang

摘要

Gyroscopes play a crucial role in an extensive range of applications such as navigation systems, motion control, virtual reality, and many electronic devices. The efficiency of gyroscopes relies on the accurate measurement and control of rotational motion. Gyroscopes exhibit nonlinear behavior, especially at high angular velocities or high temperatures. Also, the performance of gyroscopes is violated by various disturbances such as vibration, electromagnetic interference, integration with other sensors, cross-axis sensitivity, temperature changes, mechanical imperfections, and aging components. To cope with these challenges, in this paper, an applied hybrid controller is developed. First, a basic linear quadratic regulator (LQR) is designed using the basic dynamics of the gyroscope. The dynamics uncertainties are modeled by the use of type-3 (T3) fuzzy logic systems (FLSs), and then a modified sliding mode controller (SMC) is designed. A soft switching mechanism is introduced based on adaptive T3-FLSs. The parameters of the T3-FLS in the identification sections and the T3-FLS in the switching section are online updated through a stability theorem. The feasibility is demonstrated by an experimental implementation. Also, by several simulations, the accuracy of tracking and robustness are examined. It is demonstrated that the suggested hybrid controller results in good efficiency in both simulation and real-world environments. (see the video of the experimental implementation at here)