空间矢量调制的ANN(人工神经网络)驱动控制器提高了感应电机的性能,保证了谐波的降低

K. Gulez, H. Watanabe, F. Harashima, K. Ohnishi, H. Pastaci
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引用次数: 4

摘要

控制系统在现代文明和技术的发展和进步中发挥着越来越重要的作用。实际上,日常活动的每个方面都受到某种控制系统的影响。因此,空间矢量技术已成为一种流行的脉冲宽度技术(PWM)的三相逆变器的应用,如控制交流感应和永磁同步电机。数字控制结构消除漂移,解决复杂的数学方程,通过使用可编程处理器,它们可以很容易地升级为新的控制算法。数字信号处理器(dsp)走得更远;它们的高性能使它们能够执行高分辨率控制并最大限度地减少控制回路延迟。这些由人工神经网络(ANN)支持的技术改进使得开发出具有更低功耗硬件和更精确控制结构的真正有效的交流驱动控制成为可能。
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ANN (artificial neural network) drive controller of space vector modulation increasing the performance of the induction motor and ensuring harmonic reduction
Control systems have assumed an increasingly important role in the development and advancement of modern civilization and technology. Practically, every aspect of day-to-day activities is affected by some type of control system. Thus, the space-vector technique has become a popular pulse width technique (PWM) for three-phase inverters in applications such as control of AC induction and permanent-magnet synchronous motors. Digital control structures eliminate drifts, solve complex mathematical equations and by using a programmable processor, they can be easily upgraded for new control algorithms. Digital signal processors (DSPs) go further; their high performance allows them to perform high resolution control and minimize control loop delays. These technological improvements supported by artificial neural networks (ANN) have enabled the development of really effective AC drive control with ever lower power dissipation hardware and ever more accurate control structures.
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