【作者】 王佳；

【导师】 高迎慧；

【作者基本信息】 辽宁工程技术大学 ， 控制理论与控制工程， 2011， 硕士

【摘要】 矿井排水系统是保证煤矿生产稳定运行,保障工人生命安全的重要系统。采用人工操作的排水系统存在排水效率低、经济效益差、容易发生事故等弊端。而且矿井涌水具有严重非线性,无法建立精确数学模型。传统的PID控制、模糊控制无法起到良好的控制效果。为解决上述问题,提出应用自适应神经模糊推理系统(ANFIS)对水泵进行自动控制的方法,通过其自组织、自学习、高精度、稳定性好的特点弥补当前控制方式的不足。采用LabVIEW与MATLAB混合编程的方法设计了基于ANFIS的矿井水泵控制器,将ANFIS控制器与避峰填谷原则以及轮流工作原则融合,提出了矿井排水系统综合控制策略。运用LabVIEW软件完成对整套矿井排水自动监控系统的设计。仿真研究表明,在控制矿井排水系统方面,与PID控制、模糊控制相比,ANFIS控制的上升时间更短,无超调,控制更精确,控制性能更好。效益分析表明,本系统能够创造出显著的经济效益与社会效益,具有广泛的推广价值。更多还原

【Abstract】 Mine drainage system is an important system that can guarantee stable operation of coal production, protect the safety of the workers. The manual operation water drainage system has low efficiency, low economic efficiency, prone to accidents and other defects. And mine inflow has severe nonlinear, can not establish accurate mathematical model. Traditional PID control, fuzzy control can not play a good control effect.To address these problems, proposes the application of adaptive neuro-fuzzy inference system (ANFIS) approach for automatic control of pump. Through its self-organization, self-learning, high accuracy, good stability to make up for the shortcomings of the previous control.Mixed with LabVIEW and MATLAB programming designed ANFIS-based mine pump controller. Combining ANFIS controller and the principle of avoiding the peak and trending to the vale and the principles to work by turns principle, it puts forward the mine drainage system comprehensive control strategy. Complete automatic monitoring system for the design of mine drainage using LabVIEW software.Simulation results show that in the automatic control system of mine drainage, compared with the PID control and fuzzy control,ANFIS control has a shorter rise time, no overshoot, more precise control and control performance is better. Benefit analysis shows that the system can create significant economic and social benefits, with a wide range of promotional value.更多还原