亚洲免费av电影一区二区三区,日韩爱爱视频,51精品视频一区二区三区,91视频爱爱,日韩欧美在线播放视频,中文字幕少妇AV,亚洲电影中文字幕,久久久久亚洲av成人网址,久久综合视频网站,国产在线不卡免费播放

        ?

        Research on fuzzy control technology of DC motor in height automatic adjusting system of CNC cutting machine

        2015-11-03 07:02:01AichengZOUQunyingWANG
        機床與液壓 2015年3期

        Ai-cheng ZOU, Qun-ying WANG

        (Guilin University of Aerospace Technology, Guilin 541004, China)

        ?

        Research on fuzzy control technology of DC motor in height automatic adjusting system of CNC cutting machine

        Ai-cheng ZOU*, Qun-ying WANG

        (Guilin University of Aerospace Technology, Guilin 541004, China)

        Motor control technology is the key factor for height automatic adjusting system of CNC cutting machine. In this paper, one DC motor control technologyis put forward based on the fuzzy control technology and PWM control technology, and the fuzzy controller is designed as well. Experimental results show that the control accuracy and sensitivity of height automatic adjusting system will be improved by using the fuzzy control technology and PWM control technology.

        PWM, Fuzzy control, Height automatic adjustment system

        1 Introduction

        In order to improve the cutting quality and reduce waste generation, it needs to keep the height between cutting torch of CNC cutting machine and the material to be processed on the setting value during the cutting process. Height automatic adjusting system (HAAS) is the key component of CNC cutting machine to realize this function. The control effect of DC motor has direct impact on the accuracy and sensitivity of HAAS. In this paper, one DC motor control technology is put forward based on the fuzzy control technology and PWM control technology, and the fuzzy controller is designedas well in order to effectively improve the control accuracy and sensitivity of HAAS.

        2 Control scheme of HAAS

        The driving system of HAAS adopts “H-Bridge” and “Bipolar reversible PWM”, which is shown in Fig.1. The “H-Bridge” compose of triodes (V1-V4) and diodes (D1-D4). The MCU analogs the output of PWM, and controls the conduction and cutoff of triodes (V1-V4) in use of the photoelectric coupler. Divided triodes (V1-V4) into two groups, V1 and V4 as one group, V2 and V3 as another group. The two triodes in one group will conduct or cutoff at the same time. The timing diagram of U1 and U2 is shown in Fig.2.

        In each cycle of the PWM, the triode V1 and V4 are conducting state, V2 and V3 are cutoff state, when the control signal U1 is high voltage and U2 is low voltage. The armature winding of DC motor will under positive voltage from A to B. The triode V1 and V4 are in cutoff state, V2 and V3 are in conducting state, when the control signal U1 is low voltage and U2 is high voltage. The armature winding of DC motor will under reverse voltage from B to A. The average voltage could be determined as follows:

        From the average voltage calculation formula, it is clear that the speed of DC motor is decided byα. The DC motor reversal will reach to the maximum speed whenαis equal to zero. The DC motor is transferred with the maximum speed whenαis equal to 1. The DC motor will stop whenαis equal to 1/2.

        Fig. 1 Driving system of DC motor

        Fig. 2 Timing diagram of U1- U2

        3 Fuzzy controller

        3.1 Fuzzy control scheme

        The following scheme can effectively improve the problems of slow response and low accuracy of HAAS. When adjust the moving speed (V) of the cutting torch dynamically according to the real-time height value (dx) between cutting torch and the material to be processed, the torch will move quickly if the difference between dx and d is large, otherwise, the torch will move slowly. In this way, it can not only adjust the height quickly, but also reduce the error caused by the inertia of the motor at maximum extent. According to this, fuzzy control scheme of DC motor could be designed as shown in Fig.3.

        Fig.3 Scheme of fuzzy control

        Detect the height value (dx) between cutting torch and the material to be processed in real time, and compare with the initial set value (d). The pitch deviation (e) and the deviation change rate (ec) could be obtained. Converteandecfrom basic domain to the quantification domain, that is to say, multiplyebyKe,andecbyKec. According to the input membership function to calculate the membership degree (EandEC) of each input variable of the fuzzy sets. And then one can get the output fuzzy quantitative value and the actual control value of the PWM.

        3.2 Fuzzy process the variables

        Fuzzy process the variables are as follows:

        1) Pitch deviation (e)

        Quantification domain:{-6,-5,-4,-3,-2,-1, 0, 1, 2, 3, 4, 5, 6};

        Fuzzy set:{NB,NM,NS,ZO,PS,PM,PB}.

        2) Deviation change rate (ec)

        Basic domain: initially set pitch of -1% - 1%;

        Quantification domain:{-6,-5,-4,-3,-2,-1, 0, 1, 2, 3, 4, 5, 6};

        Fuzzy set:{NB,NM,NS,ZO,PS,PM,PB}.

        3) Duty ratio (α)

        Basic domain: initially set pitch of -0.25 -0.25;

        Quantification domain:{-6,-5,-4,-3,-2,-1, 0, 1, 2, 3, 4, 5, 6};

        Fuzzy set:{NB,NM,NS,ZO,PS,PM,PB}.

        The membership function of the variable is made of triangular distribution. The initial set value (d) is decided by the control requirements. Give the initial valueαas 3/4 when the DC motor is in transferring state. Give the initial valueαas 1/4 when the motor is in reversal state.

        3.3 Fuzzy rule table

        The fuzzy rule table is the key to the fuzzy controller. Summary the fuzzy control rules according to experience, and establish the fuzzy rules table as shown in Table 1.

        Whenα<1/2, the analysis method is similar toα≧1/2.

        According to Table 1:

        WhenEis NB andECis NB, the deviation has a tendency to increase. In order to eliminate the negative large deviation and inhibition the deviation increasing further as soon as possible, the speed of DC motor should be given as PB. When the deviation change rate is PB, the speed of DC motor should reduce. Otherwise, it will cause bigovershoot.

        WhenEis NS, the system is close to the steady state. IfECis NS, the speed of DC motor should be given as PS to suppress the bias change towards negative direction. If the deviation change rate is positive, the system has the trend to eliminate the deviation, the speed of DC motor should be given as NS.

        Table 1 Fuzzy rule

        α≥1/2ENBNMNSZOPSPMPBECNBPBPBPMPMPSPSZONMPBPMPMPSPSZONSNSPMPMPSPSZONSNSZOPMPSPSZONSNSNMPSPSPSZONSNSNMNMPMPSZONSNSNMNMNBPBZONSNSNMNMNBNBα<1/2ENBNMNSZOPSPMPBECNBNBNBNMNMNSNSZONMNBNMNMNSNSZOPSNSNMNMNSNSZOPSPSZONMNSNSZOPSPSPMPSNSNSZOPSPSPMPMPMNSZOPSPSPMPMPBPBZOPSPSPMPMPBPB

        4 Test analysis

        According to the fuzzy control, HAAS is designed and the corresponding experiments are carried out and the test results are shown in Table 2. In this table,Eis the difference betweendxandd,Tis time used by HAAS fromdxtod,Pis precision of the system.

        Table 2 Test result

        E/mmWithouttheuseoffuzzycontrolT/SP/mmUsefuzzycontrolT/SP/mm<5<1.5<±0.3<0.5<±0.1<10<1.5<±0.3<0.5<±0.1<15<1.5<±0.3<0.5<±0.1<20<2.0<±0.3<0.8<±0.2<30<2.0<±0.3<0.8<±0.3<40<3.0<±0.8<1.0<±0.4<50<3.0<±1.0<1.0<±0.5>50<3.0>2.01.0>0.5

        CompareTandPin the columns “Without the use of fuzzy control” and “Use fuzzy control”. It is clear that both theTandPin case of using fuzzy control are lower than those cases without using fuzzy control. Therefore, HAAS has higher precision in case of using fuzzy control, and it could meet the requirements better.

        Acknowledgements

        This paper is supported by the Guangxi Education Department Fundation (No.2013YB274) and the Guilin University of Aerospace Technology Fundation (No. YJ1047).

        [1]Huang X L, Liu J C, Liu H J. Cement Decomposing Furnace Temperature Control Based on the Fuzzy Control Technology [J]. China Building Materials Science and Technology, 2014(3): 54.

        [2]Xie C J, Bao H, DU J L. Application of a New Membership Function to Nonlinear Fuzzy PID Controllers with Variable Gains [J]. Information and Control, 2014(3): 264-269.

        [3]Hu S S, Weng H H, Weng J X. Design of Fuzzy Controller Based on Primary Tower Temperature Control [J]. Automation and Instrumentation, 2013(6): 35.

        [4]He X X, Yan J L, Xu C H. Monitoring and control for sub-sea mud-lift drilling system [J]. Journal of China University of Petroleum, 2012(3): 129-132.

        [5]Miao J L, Zou J. Design for Direct Torque Controlled Brushless DC Motor [J]. Application of Electronic Technique, 2011(7): 88-91.

        [6]Barlat F, Yoon J W, Cazacu O. On linear transformations of stress tensors for the description of plastic anisotropy[J]. International Journal of Plasticity, 2007, 23: 876-896.

        [7]Cazacu O, Barlat F. A criterion for description of anisotropy and yield differential effects in pressure-insensitive metals[J]. International Journal of Plasticity 2004, 20: 2027-2045.

        [8]Jiang Y Y, Zhang M, Lee C H. Finite element modeling of self-loosening of bolted joints[J]. ASME Journal of Mechanical Design, 2007, 129: 218-226.

        [9]Kan Q H, Kang G Z, Zhang J. Uniaxial time-dependent ratchetting: Visco-plastic model and finite element application[J]. Theoretical and Applied Fracture Mechanics, 2007, 47(2):133-144.

        [10]Kang G Z, Gao Q, Yang X J. Uniaxial and non-proportionally multiaxial ratcheting of SS304 stainless steel at room temperature: experiments and simulations[J]. International Journal of Non-Linear Mechanics, 2004, 39(5): 843-857.

        [11]Kang G Z. Finite element implementation of visco-plastic constitutive model with strain-range-dependent cyclic hardening[J]. Communications in Numerical Methods in Engineering, 2006, 22(2):137-153.

        [12]Kang G Z, Gao Q, Yang X J. A visco-plastic constitutive model incorporated with cyclic hardening for uniaxial/multiaxial ratcheting of SS304 stainless steel at room temperature[J]. Mechanics of Materials, 2002, 34(9):521-531.

        [13]Kang G Z. Finite element implementation of visco-plastic constitutive model with strain-range-dependent cyclic hardening[J]. Communications in Numerical Methods in Engineering, 2006, 22(2):137-153.

        [14]Chaboche J L. A review of some plasticity and viscoplasticity constitutive theories[J]. International Journal of Plasticity, 2008, 24:1642-1693.

        [15]Wang T, Chen G, Wang Y P, et al. Uniaxial ratcheting and fatigue behaviors of low-temperature sintered nano-scale silver paste at room and high temperatures[J]. Materials Science and Engineering a-Structural Materials Properties Microstructure and Processing, 2010, 527(24-25): 6714-6722.

        摘要:在FMS物流系統(tǒng)的實時調(diào)度優(yōu)化方面,主要是針對AGV運輸展開的調(diào)度研究。簡要介紹了兩種形式的AGV調(diào)度策略:基于遺傳算法(GA)的AGV調(diào)度、基于粒子群算法(PSO)的AGV調(diào)度;將模型及調(diào)度優(yōu)化思想以具體的實例進行驗證,以已開發(fā)出的仿真程序為基礎(chǔ),在其中融入調(diào)度模塊,通過實時運行的假定加工任務(wù)數(shù)據(jù),證實實時調(diào)度優(yōu)化后系統(tǒng)的任務(wù)完成時間有明顯縮短,提高了整個系統(tǒng)的任務(wù)加工處理效率。

        關(guān)鍵詞: 柔性制造系統(tǒng);實時調(diào)度;遺傳算法;粒子群算法

        基于模糊控制技術(shù)的數(shù)控切割機自動調(diào)高器中直流電機控制研究

        鄒愛成*, 王群英

        桂林航天工業(yè)學(xué)院,桂林541004

        電機控制技術(shù)是數(shù)控切割機自動調(diào)高器的關(guān)鍵技術(shù)之一。提出了基于模糊控制技術(shù)和PWM控制技術(shù)的數(shù)控切割自動調(diào)高器的直流電機控制系統(tǒng)方案,設(shè)計了模糊控制器,實驗結(jié)果表明:通過使用模糊控制技術(shù)和PWM控制技術(shù)能明顯提高自動調(diào)高器的控制精度和靈敏度。

        PWM;模糊控制;自動調(diào)高器

        (Continued from 47 page)

        柔性制造系統(tǒng)實時調(diào)度與優(yōu)化研究

        徐德凱*,王麗潔,史衛(wèi)朝

        西安理工大學(xué) 高等技術(shù)學(xué)院, 西安710082

        16 March 2015; revised 29 May 2015;

        Ai-cheng ZOU, Ph.D., Lecturer.

        E-mail:zouaicheng@guat.edu.cn

        10.3969/j.issn.1001-3881.2015.18.009 Document code: A

        TM934.23

        accepted 6 June 2015

        Hydromechatronics Engineering

        http://jdy.qks.cqut.edu.cn

        E-mail: jdygcyw@126.com

        男女肉粗暴进来120秒动态图| 偷拍一区二区三区四区| 麻豆国产精品va在线观看不卡| 99精品一区二区三区无码吞精| 国产一区二区精品尤物| 亚洲va欧美va国产综合| www.亚洲天堂.com| 亚洲精品456在线播放狼人| 国产免费二区三区视频| 丁香五月亚洲综合在线| 白又丰满大屁股bbbbb| 国产精品福利影院| 国内精品人人妻少妇视频| 成人大片免费视频播放一级| 亚洲av永久无码精品放毛片| 国产精品视频牛仔裤一区| 久久国产精品一区二区| 亚洲视频免费一区二区| 色综合色狠狠天天综合色| 亚洲美女影院| 国产精品毛片av一区二区三区| 精品久久av一区二区| 一本色道久久99一综合| 中文字幕亚洲好看有码 | 人妻无码AⅤ不卡中文字幕| Jizz国产一区二区| 亚洲精品中文字幕乱码3| 亚洲一区二区三区精品| 国产白嫩护士被弄高潮| 国产欧美成人| 在线一区二区三区免费视频观看| 护士人妻hd中文字幕| 国产熟女内射oooo| 国产精品久免费的黄网站| 三级黄色片一区二区三区| 日韩精品第一区二区三区 | 亚洲国产天堂一区二区三区| 亚洲日韩一区二区一无码| 国产精品午夜高潮呻吟久久av| 欧美精品一区二区精品久久| 爆爽久久久一区二区又大又黄又嫩|