Consequently, performance deteriora

Consequently, performance deteriorates and a conventional controller such as a PID is unable to maintain satisfactory performance under these conditions. Recently, there has been observed an increasing interest in combining artificial intelligent control tools with classical control techniques [42]. The principal motivations for such a hybrid implementation is that with fuzzy logic, neural networks & rough sets issues, such as uncertainty or unknown variations in plant parameters and structure can be dealt with more effectively, hence improving the robustness of the control system. Conventional controls have on their side well established theoretical backgrounds on stability and allow different design objectives such as steady state and transient characteristics of the closed loop system to be specified. Several works were contributed to the design of such hybrid control schemes which was shown by various researchers in [12], [48].
Classical control systems like PI, PID control have been used,together with vector control methods, for the speed control of induction machines by various researchers [6]. The main drawbacks of the linear control approaches were the sensitivity in performance to the system parameters variations and inadequate rejection of external perturbations and load changes [8].

結果 (中文) 1:

因此，性能恶化和传统的控制器，例如一个 PID 是无法维持在这些条件下的表现令人满意。最近，结合智能控制工具和经典控制方法 [42] 的兴趣日增已观察。这种混合执行的主要动机是与模糊逻辑、 神经网络与粗设置的问题，例如植物参数的不确定性或未知变化和结构可以有效地处理更多，从而改善控制系统的鲁棒性。常规控件已站在他们一边，设立对稳定性的理论背景，并允许不同的设计目标，如稳态和瞬态特性的闭环系统指定。几部作品被促成了这种混合控制方案的设计表现出不同的研究人员，[12]，[48]。经典控制系统，如 PI，已经采用了 PID 控制、 矢量控制方法，通过不同的研究人员 [6] 的感应电机的速度控制。线性控制方法的主要缺点是性能对系统参数变化和外部扰动和负载变化 [8] 不足拒绝的敏感性。

結果 (中文) 3:

因此，性能恶化和传统的控制器如PID无法在此条件下保持良好的性能。最近，有被观察到在结合人工智能控制工具与经典控制技术[ 42 ]的兴趣越来越浓厚。对于这样一个混合实现的主要动机是，模糊逻辑，神经网络&粗糙集的问题，如不确定性或植物结构和参数未知的变化可以更有效的处理问题，从而提高了控制系统的鲁棒性。传统的控制方面建立了良好的理论背景对稳定性和允许不同的设计目标，如稳态和瞬态特性的闭环系统的规定。多幅作品被促成了这种混合控制方案，这是通过在[ 12 ]各研究人员设计，[ 48 ]。
喜欢经典PI控制系统，PID控制已经应用，结合矢量控制方法，对感应电机的速度控制由不同的研究者[ 6 ]。的线性控制方法的主要缺点是性能灵敏度对系统参数变化和外部扰动和负载变化[ 8 ]不排斥。