【摘要】：我國(guó)是一個(gè)煤礦資源豐富的大國(guó),然而我國(guó)煤礦的開(kāi)采業(yè)的現(xiàn)狀卻不容樂(lè)觀(guān)。在全國(guó)各地的煤礦中,尤其是一些中小型煤礦,存在的問(wèn)題相當(dāng)多。主要體現(xiàn)在開(kāi)采技術(shù)比較落后,生產(chǎn)效率過(guò)低,生產(chǎn)耗能較大等方面。近年來(lái)隨著礦井井型的增大,設(shè)備也逐步朝大型化,大功率化方向發(fā)展。能耗也隨之大幅度上升,因而對(duì)煤礦企業(yè)尤其是節(jié)能提出了新的更高要求。 隨著EDA技術(shù)的不斷發(fā)展進(jìn)步,FPGA逐漸得到了越來(lái)越廣泛的應(yīng)用。采用FPGA來(lái)設(shè)計(jì)控制器,系統(tǒng)的器件數(shù)目可以大大減少,而且FPGA還具有設(shè)計(jì)靈活,現(xiàn)場(chǎng)可編程,易于調(diào)試和體積小等優(yōu)點(diǎn)[1]。此外基于FPGA的控制器不僅可以作為單獨(dú)的控制芯片模塊[,作為整個(gè)控制系統(tǒng)的控制單元模塊,還可以將其嵌入到片上可編程系統(tǒng)中。 綜上所述,本文采用一種基于FPGA的模糊PID控制器設(shè)計(jì)方案。在分析了PID控制理論和模糊控制理論基本原則的基礎(chǔ)上,結(jié)合它們的優(yōu)點(diǎn),設(shè)計(jì)出了模糊P1D控制器。首先確認(rèn)模糊控制器的輸入輸出量的模糊化和反模糊化方法,然后建立模糊規(guī)則表,確定推理合成方法,用MATLAB模糊工具箱得到模糊控制器輸出量查詢(xún)表。最后再將模糊控制器與改進(jìn)后的PID控制器進(jìn)行綜合設(shè)計(jì),實(shí)現(xiàn)了模糊PID控制器。模糊控制的瓶頸在于模糊規(guī)則的優(yōu)化上,針對(duì)這一點(diǎn),本文提出了將模擬退火算法和遺傳算法結(jié)合起來(lái)對(duì)模糊規(guī)則進(jìn)行優(yōu)化的方法,充分利用了遺傳算法和模擬退火算法各自的優(yōu)點(diǎn),對(duì)模糊規(guī)則進(jìn)行尋優(yōu),得出了優(yōu)化的控制規(guī)則表,縮短了控制時(shí)間,大大的減小了超調(diào)量,獲得了良好的控制效果。
[Abstract]:China is a large country with abundant coal resources, but the present situation of coal mining industry in China is not optimistic. In coal mines all over the country, especially some small and medium-sized coal mines, there are quite a lot of problems. Mainly reflected in the mining technology is relatively backward, production efficiency is too low, production energy consumption and so on. In recent years, with the increase of mine shaft type, the equipment has gradually developed towards large-scale and large-power. The energy consumption also increases greatly, so the new higher requirements are put forward for coal mine enterprises, especially for energy saving. With the development and progress of EDA technology, FPGA has been used more and more widely. Using FPGA to design the controller, the number of devices in the system can be greatly reduced. Moreover, FPGA has the advantages of flexible design, field programming, easy debugging and small size [1]. In addition, the FPGA-based controller can not only be used as a single control chip module [, as the control unit module of the whole control system, but also embedded in the on-chip programmable system. In summary, this paper adopts a fuzzy PID controller design scheme based on FPGA. Based on the analysis of the basic principles of PID control theory and fuzzy control theory, a fuzzy P1D controller is designed based on their advantages. Firstly, the fuzzy and anti-fuzzy methods of the input and output of the fuzzy controller are confirmed. Then the fuzzy rule table is set up, the reasoning method is determined, and the fuzzy controller output query table is obtained by using the fuzzy toolbox of MATLAB. Finally, the fuzzy controller and the improved PID controller are synthetically designed, and the fuzzy PID controller is realized. The bottleneck of fuzzy control lies in the optimization of fuzzy rules. In view of this, this paper presents a method to optimize fuzzy rules by combining simulated annealing algorithm and genetic algorithm. By making full use of the advantages of genetic algorithm and simulated annealing algorithm, the fuzzy rules are optimized, the optimal control rules table is obtained, the control time is shortened, the overshoot is greatly reduced, and a good control effect is obtained.
【學(xué)位授予單位】：安徽理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類(lèi)號(hào)】：TD67;TP273.4

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本文編號(hào)：2437922