基于多因素灰色预测的电梯调速控制

TELKOMNIKA Indonesian Journal of Electrical Engineering Pub Date : 2012-09-11 DOI:10.11591/TELKOMNIKA.V10I6.1408

Y. Fei, Jin Ning, Jiming Wang

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引用次数: 3

摘要

本文采用双因素灰色预测和模糊控制器对电梯轿厢速度进行控制。引入双因素灰色控制对运行过程中电梯运行速度的轿厢振动进行预测。仿真结果表明，基于多因素灰色预测的模糊PI控制的电梯调速系统比简单的灰色模糊PI控制的电梯调速系统更接近实际运行。双因素灰色模糊PI控制电梯速度控制系统的控制效果也令人满意。本文采用双因素灰色预测和模糊控制器对电梯轿厢速度进行控制。利用该方法不依赖对象模型和鲁棒性强的优点，克服了电梯式永磁同步电机参数漂移和非线性效应。并引入双因素灰色控制来预测电梯运行过程中车速对轿厢振动的影响。仿真结果表明，基于多因素灰色预测的模糊PI控制的电梯调速系统比简单的灰色模糊PI控制的电梯调速系统更接近实际运行。双因素灰色模糊PI控制电梯速度控制系统的控制效果也令人满意。DOI: http://dx.doi.org/10.11591/telkomnika.v10i6.1408全文:PDF

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Based on Multi-Factors Grey Prediction Control for Elevator Velocity Modulation

This paper uses the double-factors grey prediction and the fuzzy controller for the elevator car speed control. We introduce double-factors grey control to predict car vibration for elevator speed during the operation. Simulation results show that based on multi-factors gray prediction fuzzy PI control for elevator velocity modulation system closer than simple gray fuzzy PI control elevator speed control system to the actual operation. The control effect of double factors grey fuzzy PI control elevator speed control system is also satisfactory. This paper uses the double-factors grey prediction and the fuzzy controller for the elevator car speed control. We exploit the merit of which not depend on the object model and strong robustness to overcome elevator PMSM parameters drift and nonlinear effects. And we introduce double-factors grey control to predict car vibration for elevator speed during the operation. Simulation results show that based on multi-factors gray prediction fuzzy PI control for elevator velocity modulation system closer than simple gray fuzzy PI control elevator speed control system to the actual operation. The control effect of double factors grey fuzzy PI control elevator speed control system is also satisfactory. DOI: http://dx.doi.org/10.11591/telkomnika.v10i6.1408 Full Text: PDF

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TELKOMNIKA Indonesian Journal of Electrical Engineering

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