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Online Position Control Performance Improving Applying Incremental Fuzzy Logic Controller

机译:应用增量模糊逻辑控制器提高在线位置控制性能

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This paper presents the online control system application for improving the DC motor performance. DC motor widely used in industries and many appliances. For this aim fuzzy logic controller is applied. The type of fuzzy controller use is an incremental fuzzy logic controller (IFLC). The IFLC is developed by using MATLAB Simulink Software and implemented in online position control system applying RAPCON board as a platform. The experimental results produced the best gains of the IFLC are 1.785, 0.0056955 and 0.01 for error gain (GE), gain of change error (GCE) and gain of output (GCU) respectively. Its produce smaller rise time, peak time, 0% overshoot and smaller settling time. Beside that the IFLC response also able to follow the set point. The controller response parameters values are also acceptable. It means that the IFLC suitable to be use for improving the position control system performance.
机译:本文介绍了在线控制系统在提高直流电动机性能方面的应用。直流电动机广泛用于工业和许多电器。为此,应用了模糊逻辑控制器。模糊控制器的使用类型是增量模糊逻辑控制器(IFLC)。 IFLC是使用MATLAB Simulink软件开发的,并在以RAPCON板为平台的在线位置控制系统中实现。实验结果表明,IFLC的最佳增益分别为误差增益(GE),变化误差增益(GCE)和输出增益(GCU)分别为1.785、0.0056955和0.01。它产生的上升时间,峰值时间,0%过冲和稳定时间更短。除此之外,IFLC响应也能够遵循设定值。控制器响应参数值也是可以接受的。这意味着IFLC适用于提高位置控制系统的性能。

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