异步电机软启动的变论域模糊自适应控制策略

异步电机软启动系统是一个时变、非线性的高阶系统,将变论域模糊自适应控制方法应用于异步电机的软启动控制系统中,并建立电机软启动控制系统的Matlab/Simulink的仿真模型,给出了变论域自适应模糊控制方法的仿真结果,与传统PID控制和常规模糊软启动控制方法进行了比较。仿真结果表明,该方法具有无需精确建模、响应快速、精度高、鲁棒性好、适应性强等优点,切实可行,并优于其他控制方法。     

Self-powered In-Phase Sensing and Regulating Mechanical System Enabled by Nanogenerator and Electrorheological Fluid

Mechanical system with adjustable stiffness and damping (ASAD) shows great potential in vibration suppression of aircraft, vehicle, precise instrument, etc. However, current ASAD systems consist of power, sensing, and controlling components, which bring huge challenges of system reliability and integrability, and critically limit its application diversity. Herein, we proposed the first strategy for regulating ASAD system that is system simplification, self-powered and no-delay by deeply coupling triboelectric nanogenerator (TENG) and electrorheological fluid (ERF). Under the time-varying mechanical triggering, the local and time correlated output of TENG instantaneously applied on the ERF regulates the entire mechanical system dynamically and “in-phase”. As an illustration, the resonance of a cantilever system is effectively suppressed naturally without complicated controlling strategy, and the vibration isolating efficiency reaches up to 85.2%. Finally, a mechanical transmission system is demonstrated utilizing a rotary TENG and ERF, excellent soft-start performance is enabled by this self-regulating ASAD strategy. This work may provide the opening arsenal of methodologies used in self-powered and self-regulating mechanical systems.