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Fuzzy-Logic-Based Self-Tuning PI Controller for Speed Control of Indirect Field-Oriented Induction Motor Drive

机译:基于模糊逻辑的自校正pI控制器在间接磁场定向异步电动机转速控制中的应用

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摘要

In this paper, a new self-tuning proportional and integral (PI) controller based on fuzzy logic is proposed to improve the performance of conventional PI speed control of induction motor (IM) taking core loss into account. A new parameterization technique to tune the proportional and integral gains of PI controller is adopted by using a single parameter (h) from the knowledge of pole placement technique. To tune the parameter h depending on the operating points, a simple fuzzy logic system is designed where only one input, one output variables, three membership functions for each input-output variable, and three fuzzy rules are used. Since the poles of PI speed controller are placed in negative real values by using the proposed parameterization technique, the speed controller always works in stable region. Moreover, the overshoot and steady state error problems are also overcome by changing of h based on the proposed fuzzy system under the variations of load torque and parameters. The performance of proposed fuzzy-logic-based self-tuning PI controller has been demonstrated through the simulations. The simulation results confirm that the excellent desired speed is achieved against the variations of load torque and parameters without any overshoot and steady state error by using the proposed system.
机译:本文提出了一种基于模糊逻辑的自整定比例积分控制器,以提高传统的感应电动机PI速度控制的性能,并考虑了铁损。从磁极放置技术的知识出发,通过使用单个参数(h),采用一种新的参数化技术来调节PI控制器的比例和积分增益。为了根据操作点调整参数h,设计了一种简单的模糊逻辑系统,其中仅使用一个输入,一个输出变量,每个输入-输出变量使用三个隶属函数以及三个模糊规则。由于使用建议的参数化技术将PI速度控制器的极点设置为负实数值,因此速度控制器始终在稳定区域内工作。此外,在负载转矩和参数变化的情况下,基于所提出的模糊系统改变h,还可以克服过冲和稳态误差问题。仿真结果表明了所提出的基于模糊逻辑的自整定PI控制器的性能。仿真结果证实,通过使用所提出的系统,可以克服负载转矩和参数的变化而获得极好的期望速度,而不会出现任何过冲和稳态误差。

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