The lack of precise mathematical model of nonlinear systems, such as electric machines, brings certain limits to design a powerful controller for such systems. This article presents a model-free-adaptive-control (MFAC) scheme as a good alternative to the commonly used model-based-control (MBC) methods in order to improve the controller design limitations due to the need for system model information. In this regard, an MFAC is developed in this article for current control of a wound rotor synchronous machine (WRSM) drive system and compared with a proportional-integral (PI) controller as a well-known model-based controller. Since the controller performance can be affected by unexpected phenomena, such as model errors, parameter variations, and changes in operating point, beforehand, the robustness of developed MFAC is first tested under the mentioned conditions in the simulation area. Then, through experimental validation on a specifically designed test bench, a satisfactory performance was obtained for the MFAC scheme.

中文翻译：

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绕线转子同步电机驱动系统的数据驱动无模型自适应电流控制

非线性系统（如电机）缺乏精确的数学模型，这给为此类系统设计强大的控制器带来了一定的限制。本文提出了一种无模型自适应控制 (MFAC) 方案，作为常用的基于模型的控制 (MBC) 方法的良好替代方案，以改善由于需要系统模型信息而导致的控制器设计限制。在这方面，本文开发了 MFAC，用于绕线转子同步电机 (WRSM) 驱动系统的电流控制，并与作为众所周知的基于模型的控制器的比例积分 (PI) 控制器进行比较。由于控制器性能可能会受到意外现象的影响，例如模型错误、参数变化和工作点的变化，所以事先，首先在模拟区域的上述条件下测试开发的 MFAC 的稳健性。然后，通过在专门设计的测试台上进行实验验证，MFAC 方案获得了令人满意的性能。