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液压振动给煤机自适应模糊PID控制的研究

The Research of Hydraulic Vibration Coal Feeder Control System Based on Adaptive Fuzzy PID

【作者】 王普长

【导师】 张建立;

【作者基本信息】 郑州大学 , 机械制造及其自动化, 2012, 硕士

【摘要】 在煤炭销售、运输领域越来越要求高效、快捷、精确的装车系统的今天,煤炭的装运水平是煤炭工业现代化程度的重要标志之一。给煤机的控制系统是煤炭装车系统中极其重要的一环,闸门控制系统又是给煤机控制系统的重要组成部分,良好的闸门控制系统可以通过控制煤炭输出量、输出时间、输出方式等保证煤炭输送效率。本文具体针对郑州大学与新乡四达公司联合设计的液压振动给煤机的扇形闸门控制系统展开分析研究。论文从推导液控扇形闸门系统的动态数学模型入手,建立了由信号放大器、液压控制系统、检测系统等组成的闭环传递函数,并基于MATLAB数学分析软件分析了液控扇形闸门系统的稳定性。文章系统地讨论了常规PID控制和模糊控制,重点结合给煤机对扇形闸门控制的要求,通过分析得出PID控制参数与扇形闸门转角和设定值的偏差及偏差变化率之间的关系,将其编制成模糊控制规则并设计了液控扇形闸门自适应模糊PID控制器。自适应模糊PID控制器的模糊控制部分根据不同时刻的偏差及偏差变化率对PID控制参数进行实时的调整;PID控制部分依据实时的控制参数对偏差进行运算并将运算结果输送至被控对象进行调节,自适应模糊PID能够使二者发挥各自的特点从而使被控对象具有较为理想的动、静态性能。文中根据被控对象的传递函数,在MATLAB/Simulink中完成了液控扇形闸门系统模型的搭建及其液控扇形闸门常规PID、自适应模糊PID控制系统的设计并详细阐述了液控扇形自适应模糊PID的设计过程。通过对比仿真结果得出自适应模糊PID能够使扇形闸门快速、精确地实现预定角度。论文研究了以西门子可编程控制器S7-200为控制核心的模糊控制器的设计方法并完成了程序的设计工作,即预先将量化因子、比例因子、离散区间及模糊控制规则输入到S7-200的数据块中,然后通过程序(梯形图)对输入的偏差进行模/数转换、离散化、模糊化、模糊查询、清晰化及PID控制。最后对本文在该课题中完成的研究工作进行了总结,针对在研究过程中的所存在的问题进行了归纳并对可能的改进给予了展望。

【Abstract】 In coal marketing and transportation demand more and more efficient, fast and accurate loading system of today, coal shipment is one of the important marks of the coal industry modernization. The controlling system of coal feeder is extremely important in the coal loading system; The gate control system is an important part of controlling system of the coal feeder. A good gate controlling system can ensure the efficiency of coal transportation through controlling the coal output, the output time and output way etc. This article specifically takes the control system of the fan gate of the hydraulic vibration coal feeder designed by Zhengzhou University and Xinxiang Sida Company.This paper deduces from the dynamic mathematical model derivation of the hydraulic controlling system of fan gate, Establishing closed loop transfer function by the signal amplifier, hydraulic systems, detection systems, and analyzes the hydraulic controlled the gate system stability based on mathematical analysis software MATLAB. Next, this paper systematically studying the general PID control and fuzzy control of their own characteristics, focused combining with the fan gate of coal feeder controlling requirements, through the analysis of the relationship between the PID control parameters and the deviation and the deviation of change of the fan and the set obtaining fuzzy control rules, and design the adaptive fuzzy PID controller of hydraulic control fan gate. The Fuzzy Control of adaptive fuzzy control of fuzzy PID controller adjusts the PID control parameters in real time according to the different moments of the deviation and the deviation of change; The PID control part of adaptive fuzzy control computes the deviation and transmits to the controlled object based on the real-time control parameters.Adaptive Fuzzy PID can let both of them play their own characteristics so that the controlled object obtains desirable dynamic and static performance.According to the transfer function of the controlled system, this paper completes the structure of the system model and its the general PID and adaptive fuzzy PID controller design in MATLAB/Simulink and elaborates on the simulation design process of the adaptive fuzzy PID. Adaptive fuzzy PID can make the fan gate quickly and accurately to reach the predetermined angle by comparing the simulation results obtained.This paper introduces the fuzzy controller design methods and completes the design of the program, which uses a Siemens programmable controller S7-200as the core of controlling systems.Pre-input quantization factor, scale factor, discrete interval and fuzzy control rules to the S7-200data blocks, and conduct D/A transformation, discrete, blur, fuzzy inquiry, prioritize and PID control by the program (ladder diagram) to inputing deviation.Finally, a summary of the paper on this subject has been completed and possible improvements have been expected.

  • 【网络出版投稿人】 郑州大学
  • 【网络出版年期】2012年 09期
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