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An Improved Flush Material Belt Weigh Feeder System via Fuzzy Logic Controller and Adaptive Neural Networks

机译:通过模糊逻辑控制器和自适应神经网络改进的冲洗材料带称重馈线系统

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The Flush Material Belt Weigh Feeder (FMBWF) has used in many material handling plants. The stability and the performance of the layer control system will affect the quality of the production. In general, the behavior of the flush material on the BWF is non-linear, time-lag, and disturbance character. The layer of the flush material on the belt is hard to be stably controlled especially the occurrence of unstable situation in flush material or the prefeeder feeding rate and the variation of the set point value of the FMBWF. This paper focuses on the performance improvement of the FMBWF via adopted a fuzzy controller under the situation of the Flow Rate Set Value (FRSV) variation. The proposed fuzzy controller is utilized instead of the original feed forward compensation function to deal with the problems of the temporary unstable situation. This paper offers the simulation result comparison of the set point value variations between the BWF for the original and the proposed control system. The simulation results are distinct better than the original control system. The influence of the variations of the set point value can be successfully evaluated by the Fuzzy controller and adjusted the Proportional Actuator immediately. Finally the proposed control system remains convergence with smooth and stable. Therefore, the accuracy, stability and the performance of the control system are improved.
机译:冲洗材料带称重进给器(FMBWF)在许多材料处理厂中使用。层控制系统的稳定性和性能将影响生产的质量。通常,BWF上的冲洗材料的行为是非线性,时间滞后和扰动特征。冲洗型上的冲洗材料层很难被稳定地控制,特别是冲洗材料中的不稳定情况或预先进给速率的发生和FMBWF的设定点值的变化。本文侧重于在流量设定值(FRSV)变化的情况下采用模糊控制器的FMBWF对FMBWF的性能改进。利用所提出的模糊控制器代替原始馈送前进补偿功能来处理临时不稳定情况的问题。本文提供了BWF为原始控制系统和建议控制系统的设定点值变化的仿真结果比较。模拟结果与原始控制系统不同。设定点值的变化的影响可以由模糊控制器成功评估并立即调节比例致动器。最后,所提出的控制系统仍然具有光滑稳定的收敛性。因此,改善了控制系统的精度,稳定性和性能。

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