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A new deadbeat fuzzy algorithm for current regulated PWM without rotating reference frame transformation

机译:一种新的电流调节PWM的新动模糊算法,无旋转参考框架变换

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A deadbeat or digital predictive controller has very good dynamic and steady state performance, but satisfactory control results heavily depend on the accuracy of the model and parameters used. To compensate the system uncertainties, a novel current regulation method, a deadbeat fuzzy algorithm, is presented in this paper. The regulator consists of a deadbeat loop and a fuzzy compensation loop. The deadbeat loop generates the major part of the command voltage based on the nominal system conditions, which guarantees the system a very quick dynamic response. The fuzzy compensation loop generates an additional part of the command voltage in case any difference between command and actual currents occurs, which minimizes the effects of system uncertainties. As all the variables are processed in the stationary reference frame, the algorithm is simple to be implemented. Simulation and experimental results from a 5 hp induction machine system are presented to verify the effectiveness of the proposed deadbeat fuzzy current regulation algorithm.
机译:Deadbeat或Digital Predictive Controller具有非常好的动态和稳态的性能,但令人满意的控制结果大量取决于所使用的模型和参数的准确性。为了补偿系统的不确定性,本文提出了一种新颖的电流调节方法,一种死差模糊算法。调节器由一圈和模糊补偿环组成。 Deadbeat Loop根据标称系统条件产生命令电压的主要部分,这保证了系统的动态响应非常快速。在发生命令和实际电流之间的任何差异时,模糊补偿循环在发生命令和实际电流之间的任何差异时产生的附加部分。最小化系统不确定性的影响。随着所有变量在静止参考帧中处理,算法很简单。提出了5 HP Incuction机器系统的仿真和实验结果,以验证所提出的Deadbeat模糊电流调节算法的有效性。

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