Proportional Integral Derivative (PID) is the most popular controller used in automatic systems, because of its robustness, ability to adapt the behaviors of the system, making them converge toward its optimum. These advantages are valid only in the case of the linear systems, as they present poor robustness in nonlinear systems. For that reason, many solutions are adopted to improve the PID robustness of the nonlinear systems. The optimization algorithm presents an efficient solution to generate the optimums PID gains adapting to the system’s nonlinearity. The regulation speed in the Direct Torque Control (DTC) is carried out by the PID controller, which caused many inconveniences in terms of speed (overshoot and rejection time), fluxes, and torque ripples. For that, this work describes a new approach for DTC of the Doubly Fed Induction Motor (DFIM) powered by two voltage inverters, using a PID controller for the regulation speed, based on a Genetic Algorithm (GA), which has been proposed for adjustment and optimizing the parameters of the PID controller, using a weighted combination of objective functions. To overcome the disadvantages cited at the beginning, the new hybrid approach GA-DTC has the efficiency to adapt to the system’s nonlinearity. This proposed strategy has been validated and implemented on Matlab/Simulink, which is attributed to many improvements in DFIM performances, such as limiting speed overshoot, reducing response time and the rate of Total Harmonic Distortion (THD) of the stator and rotor currents, and minimizing the rejection time of speed and amplitude of the torque and flux ripples.

中文翻译：

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基于遗传算法优化的双馈异步电动机直接转矩控制的基于策略的PID控制器

比例积分微分（PID）是自动系统中最流行的控制器，因为它的鲁棒性，适应系统行为的能力，使其趋于最佳状态。这些优点仅在线性系统中有效，因为它们在非线性系统中表现出较差的鲁棒性。因此，采用了许多解决方案来提高非线性系统的PID鲁棒性。优化算法提供了一种有效的解决方案，可以生成适应系统非线性的最佳PID增益。直接转矩控制（DTC）中的调节速度由PID控制器执行，这在速度（超调和抑制时间），磁通和转矩波动方面造成了许多不便。为了那个原因，这项工作描述了一种基于遗传算法（GA）的，采用PID控制器调节速度的，由两个电压逆变器供电的双馈感应电动机（DFIM）的DTC的新方法，该方法已被提出用于调节和优化PID控制器的参数，使用目标函数的加权组合。为了克服开头提到的缺点，新的混合方法GA-DTC具有适应系统非线性的效率。这项提议的策略已经在Matlab / Simulink上进行了验证和实施，这归因于DFIM性能的许多改进，例如，限制了速度过冲，减少了响应时间以及定子和转子电流的总谐波失真（THD）率，以及最小化速度和转矩以及磁通波动的幅度的抑制时间。