Reactive and active power vector control of induction generators (IG) are essential requirements for generating high-quality electricity from wind power. These control objectives are challenging and difficult to achieve when using traditional strategies based on estimating reactive/active power, hysteresis comparators, and proportional-integral (PI) regulators due to load variations, changes in the value of rotor resistance, etc. So, to achieve these control objectives, this paper proposes a novel technique for the rotor side converter of IG-based contra-rotating wind power (CRWP) systems. The control based on the neural synergetic-super-twisting controller (NSSTC) is designed to minimize IG power ripples and improve the quality of current. The characteristics of the NSSTC-based strategy are presented, evaluated, and compared to the traditional direct field-oriented command (DFOC) based on traditional PI controllers and other reference techniques from the literature, highlighting that the NSSTC-based strategy is simpler to apply and more robust and performant than others classical nonlinear strategies. Comparative simulations are carried out on both the designed DFOC-NSSTC strategy and the DFOC technique to demonstrate the performance (good quality output power, low total harmonic distortion (THD) value of rotor currents, short response time and high robustness) and advantages of the suggested nonlinear technique.

中文翻译：

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变速对转风力发电机系统中感应发电机神经协同超扭转控制器的有功和无功功率矢量控制

感应发电机（IG）的无功和有功功率矢量控制是风电产生高质量电力的基本要求。当使用基于估计无功/有功功率、磁滞比较器和比例积分 (PI) 调节器的传统策略时，由于负载变化、转子电阻值的变化等，这些控制目标具有挑战性且难以实现。为了实现这些控制目标，本文提出了一种用于基于IG的对转风力发电（CRWP）系统的转子侧变流器的新技术。基于神经协同超扭转控制器（NSSTC）的控制旨在最大限度地减少IG电源纹波并提高电流质量。介绍、评估了基于 NSSTC 的策略的特点，并与基于传统 PI 控制器和文献中其他参考技术的传统直接现场定向指令 (DFOC) 进行了比较，强调了基于 NSSTC 的策略更易于应用比其他经典非线性策略更稳健、更高效。对设计的 DFOC-NSSTC 策略和 DFOC 技术进行了对比仿真，以证明 DFOC-NSSTC 策略的性能（输出功率质量好、转子电流总谐波失真（THD）值低、响应时间短和鲁棒性高）和优点。建议的非线性技术。