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Adaptive fuzzy variable structure control of induction motors

机译:感应电动机的自适应模糊变结构控制

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In variable structure sliding mode control schemes, one has to adjust the controller gains in order to obtain an acceptable response. The controller gains are required to be readjusted under variation of the disturbance load torque and/or of the parameters of the induction motor. To compensate automatically for the uncertainties experienced by the system, the controller gains are adjusted by a fuzzy inference mechanism. Furthermore, an adaptive fuzzy sliding mode controller is proposed. It combines the merits of sliding mode control, fuzzy inference mechanism and the adaptive algorithm. First, a sliding mode controller is designed, and then a fuzzy inference mechanism is used to compensate for the uncertainties experienced by the system by adjusting the reaching rates of the sliding mode controller. Finally an adaptation algorithm is used to adjust the centers of the fuzzy sets in order to reduce the control effort and chattering. Simulation results verify the effectiveness of the proposed algorithm.
机译:在可变结构滑模控制方案中,必须调整控制器增益以获得可接受的响应。需要在扰动负载扭矩和/或感应电动机的参数的变化下重新调节控制器增益。为了自动弥补系统所经历的不确定性,通过模糊推断机制调整控制器增益。此外,提出了一种自适应模糊滑动模式控制器。它结合了滑模控制,模糊推断机制和自适应算法的优点。首先,设计滑动模式控制器,然后使用模糊推理机构来补偿系统通过调整滑动模式控制器的达到速率而经历的不确定性。最后,使用适应算法来调整模糊集的中心,以减少控制工作和抖动。仿真结果验证了所提出的算法的有效性。

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