湖南科技学院学报在线投稿

D类。根据中国科技期刊分级结果公示（2021年），湖南人文科技学院学报（社会科学版）的分级为D类。D类期刊是指实行了专业化编辑与管理，具有一定学术水平的期刊，该类期刊需要具备较高的期刊质量和较好的学术规范。期刊的分级标准会经常调整更新，以上信息较新，仍需以官方公示为准。

刊名：湖南科技学院学报(社会科学版) 语种：中文;开本：大16开ISSN： 1672-7835CN： 43-1436/C邮发代号： 42-184历史沿革：现用刊名：湖南科技学院学报(社会科学版)曾用刊名：零陵学院学报(社会科学版)创刊时间：1999《湖南科技学院学报》在2002－2004年短短3年内实现了由季刊提升为双月刊、又由双月刊提升为月刊的“三级跳”。同时每期学报的篇幅也由原来的4－5个印张增加到10个印张、然后又增加到14－15个印张。每年度发表论文总量逐年递增。先后推出“柳宗元研究”、“零陵文化研究”、“零陵风俗调查与研究”、“零陵方言调查与研究”、“瑶族文化”、“湖湘文化”、“舜文化研究”、“女书研究”、“零陵地方志”、“永州风光”等地方性栏目，再附以“安徒生研究”等高水准的机动性学术前沿栏目，较好的实现了自身的特色文化建构。特别是“柳宗元研究”专栏持续开办25年，已形成规模，在全国具有重要影响，在国际上具有一定代表性。2004年，该学院学报被中国人大复印资料转载的论文，在全国同类院校学报中排名第二，该学报已经成为服务高校教学、科研、服务永州地方经济于文化建设的重要阵地。《湖南科技学院学报》-获得奖项学报还曾在1999年荣获湖南省优秀学报，2002年荣获全国高校学报“质量进步奖”。同年，时任主编杨金砖被中国人文社会科学学报研究会评为“全国优秀主编”。2002年被湖南省高校学报研究会评为“优秀期刊”。学报此次取得辉煌的战果，是湖南科技学院整体发展和整体荣誉的重要部分。《湖南科技学院学报》被确定为中国人文社科百强学报、中国人文社科学报核心期刊，“柳宗元研究”专栏被评为百种特色栏目《湖南科技学院学报》-编辑部发展编辑部现有成员5人，每年办刊经费10万元，平均每页经费是全省总平均的，人均编辑页数是全省总平均的倍，但是编辑部成员克服困难，成功打造出了核心期刊。核心期刊的资源含量是普通期刊的10倍。近几年来，学报编辑部在学院领导、全体教职员工的指导、关心、重视下，学报编辑取得了这次辉煌的战果，这是学院整体发展和整体荣誉的重要部分。《湖南科技学院学报》-主编感言学报编辑部主编张京华教授感慨地说，编辑部同仁特别感谢学院领导的关心，感谢前任学报主编杨金砖编审的工作和贡献，没有他在2004年度取得的业绩，学报不可能有今天的成绩。在谈到今后规划时，张教授说：“学术无止境，工作无止境，办刊也无止境。前几天陈建民书记刚刚嘱咐学报编辑部，认真研究好下一阶段的工作。我们会在今天的基础上，精益求精，从学院整体利益出发，看管、维护好这一份宝贵的资源。”（周平尚）

三类比如心理医生这类不入流的杂志，甚至不用检测重复比，500左右，不建议发。

我给你推荐几个湖南的吧！《吉首大学学报》、《怀化学院学报》、《邵阳学院学报》、《湖南科技学院学报》、《湘南学院学报》，请楼主及时采纳！！版面费一般都在500左右！

湖南科技大学学报投稿

好投。《湖南科技大学学报》(社会科学版)是经国家新闻出版总署批准,湖南省教育厅主管、湖南科技大学主办,国内外公开发行的综合性哲学社会科学学术刊.

湖南科技大学学报收录情况：中国人文社科学报核心期刊CA 化学文摘(美)中文核心期刊。祝你好运。

湖南科大在二本里还算可以的,由湘潭工学院和湘潭师范学院合并组建而成.关于排名,不同的排行榜里是不同的总的来说是一百多位到二百多位的样子.但不是重点大学,更不是全国重点.在湖南全国重点只有中南\\湖大\\国防科大\\湘大.相关的情况你可浏览学校的主页,也可对贴吧或网大等科大的论坛上了解,但是里面的内容并非全部属实,少数科大学生有攻击它校,提升自己学校的虚假信息.

湖南科技是全国重点大学这个你应该知道``详情：

湖南工学院学报投稿

我也，用彭坤，胡健，张姣，彭利等名字，冒充湖南工程学院学报，湖南科技学院学报，湖南城市学院学报等到处钱

湖南工学院是二本。

湖南工学院坐落于湖南省衡阳市，是2007年经教育部批准由湖南建材高等专科学校和湖南大学衡阳分校合并升格的省属公办普通本科院校，2010年3月湖南工业科技职工大学整体并入，是全国实施“卓越工程师教育培养计划”最年轻的本科院校,是湖南省硕士学位授予立项建设单位。

学校设有18个二级教学院（部）、18个党政管理机构、3个党群组织、9个直属单位，45个本科专业。其中，国家一流本科专业建设点和特色专业4个，教育部“卓越计划”试点专业3个，省特色专业和重点资助建设专业4个，湖南省一流专业建设点和综合改革试点专业14个，通过教育部高等教育教学认证中心的工程教育认证专业1个。

师资队伍：

学校现有全日制在校学生19466人。有教职工1320人，其中正高职称112人（教授100人），副高职称312人（副教授206人），博、硕士908人。有享受国务院政府特殊津贴专家6人、湖南省新世纪“121人才工程”第一、二、三层次人选6人。

以上内容参考：湖南工学院官网——学校简介

Sensorless torque control scheme ofinduction motor for hybrid electric vehicleYan LIU 1,2, Cheng SHAO1( Institute of Advanced Control Technology, Dalian University of Technology, Dalian Liaoning 116024, China; of Information Engineering of Dalian University, Dalian Liaoning 116622, China)Abstract: In this paper, the sensorless torque robust tracking problem of the induction motor for hybrid electric vehicle(HEV) applications is addressed. Because motor parameter variations in HEV applications are larger than in industrialdrive system, the conventional field-oriented control (FOC) provides poor performance. Therefore, a new robust PI-basedextension of the FOC controller and a speed-flux observer based on sliding mode and Lyapunov theory are developed inorder to improve the overall performance. Simulation results show that the proposed sensorless torque control scheme isrobust with respect to motor parameter variations and loading disturbances. In addition, the operating flux of the motor ischosen optimally to minimize the consumption of electric energy, which results in a significant reduction in energy lossesshown by : Hybrid electric vehicle; Induction motor; Torque tracking; Sliding mode1 IntroductionBeing confronted by the lack of energy and the increasinglyserious pollution, the automobile industry is seekingcleaner and more energy-efficient Hybrid ElectricVehicle (HEV) is one of the solutions. A HEV comprisesboth a Combustion Engine (CE) and an Electric Motor(EM). The coupling of these two components can be inparallel or in series. The most common type of HEV is theparallel type, in which both CE and EM contribute to thetraction force that moves the vehicle. Fig1 presents a diagramof the propulsion system of a parallel HEV [1].Fig. 1 Parallel HEV automobile propulsion order to have lower energy consumption and lower pollutantemissions, in a parallel HEV the CE is commonlyemployed at the state (n > 40 km/h or an emergency speedup), while the electric motor is operated at various operatingconditions and transient to supply the difference in torquebetween the torque command and the torque supplied bythe CE. Therefore fast and precise torque tracking of an EMover a wide range of speed is crucial for the overall performanceof a induction motor is well suited for the HEV applicationbecause of its robustness, low maintenance and lowprice. However, the development of a drive system basedon the induction motor is not straightforward because of thecomplexity of the control problem involved in the IM. Furthermore,motor parameter variations in HEV applicationsare larger than in industrial drive system during operation[2]. The conventional control technique ranging from theinexpensive constant voltage/frequency ratio strategy to thesophisticated sensorless control schemes are mostly ineffectivewhere accurate torque tracking is required due to theirdrawbacks, which are sensitive to change of the parametersof the general, a HEV operation can be continuing smoothlyfor the case of sensor failure, it is of significant to developsensorless control algorithms. In this paper, the developmentof a sensorless robust torque control system for HEVapplications is proposed. The field oriented control of the inductionmotor is commonly employed in HEV applicationsdue to its relative good dynamic response. However the classical(PI-based) field oriented control (CFOC) is sensitive toparameter variations and needs tuning of at least six controlparameters (a minimum of 3 PI controller gains). An improvedrobust PI-based controller is designed in this paper,Received 5 January 2005; revised 20 September work was supported in part by State Science and Technology Pursuing Project of China (No. 2001BA204B01).Y. LIU et al. / Journal of Control Theory and Applications 2007 5 (1) 42–46 43which has less controller parameters to be tuned, and is robustto parameter variable parameters modelof the motor is considered and its parameters are continuouslyupdated while the motor is operating. Speed andflux observers are needed for the schemes. In this paper,the speed-flux observer is based on the sliding mode techniquedue to its superior robustness properties. The slidingmode observer structure allows for the simultaneous observationof rotor fluxes and rotor speed. Minimization of theconsumed energy is also considered by optimizing operatingflux of the The control problem in a HEV caseThe performance of electric drive system is one of thekey problems in a HEV application. Although the requirementsof various HEV drive system are different, all thesedrive systems are kinds of torque control systems. For anideal HEV, the torque requested by the supervisor controllermust be accurate and efficient. Another requirement is tomake the rotor flux track a certain reference λref . The referenceis commonly set to a value that generates maximumtorque and avoids magnetic saturation, and is weakened tolimit stator currents and voltages as rotor speed HEV applications, however, the flux reference is selectedto minimize the consumption of electrical energy as it is oneof the primary objectives in HEV applications. The controlproblem can therefore be stated as the following torque andflux tracking problems:minids,iqs,we Te(t) − Teref (t), (1)minids,iqs,we λdr(t) − λref (t), (2)minids,iqs,we λqr(t), (3)where λref is selected to minimize the consumption of electricalenergy. Teref is the torque command issued by thesupervisory controller while Te is the actual motor (3) reflects the constraint of field orientation commonlyencountered in the literature. In addition, for a HEVapplication the operating conditions will vary changes of parameters of the IM model need to be accountedfor in control due to they will considerably changeas the motor changes operating A variable parameters model of inductionmotor for HEV applicationsTo reduce the elements of storage (inductances), the inductionmotor model used in this research in stationary referenceframe is the Γ-model. Fig. 2 shows its q-axis (d-axisare similar). As noted in [3], the model is identical (withoutany loss of information) to the more common T-model inwhich the leakage inductance is separated in stator and rotorleakage [3]. With respect to the classical model, the newparameters are:Lm = L2mLr= γLm, Ll = Lls + γLlr,Rr = γ. 2 Induction motor model in stationary reference frame (q-axis).The following basic w−λr−is equations in synchronouslyrotating reference frame (d - q) can be derived from theabove model.⎧⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎨⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎩dλdrdt= −ηλdr + (we − wr)λqr + ηLmids,dλqrdt= −(we − wr)λdr − ηλqr + ηLmiqs,didsdt= ηβλdr+βwrλqr−γids+weiqs+1σLsVds,diqsdt=−βwrλdr+ηβλqr−weids−γiqs+1σLsVqs,dwrdt= μ(λdriqs − λqrids) −TLJ,dθdt= wr + ηLmiqsλdr= we,Te = μ(λdriqs − λqrids)(4)with constants defined as follows:μ = npJ, η = RrLm, σ = 1−LmLs, β =1Ll,γ = Rs + RrLl, Ls = Ll + Lm,where np is the number of poles pairs, J is the inertia of therotor. The motor parameters Lm, Ll, Rs, Rr were estimatedoffline [4]. Equation (5) shows the mappings between theparameters of the motor and the operating conditions (ids,iqs).Lm = a1i2ds + a2ids + a3, Ll = b1Is + b2,Rr = c1iqs + c2.(5)4 Sensorless torque control system designA simplified block diagram of the control diagram isshown in Fig. Y. LIU et al. / Journal of Control Theory and Applications 2007 5 (1) 42–46Fig. 3 Control PI controller based FOC designThe PI controller is based on the Field Oriented Controller(FOC) scheme. When Te = Teref, λdr = λref , andλqr = 0 in synchronously rotating reference frame (d − q),the following FOC equations can be derived from the equations(4).⎧⎪⎪⎪⎪⎪⎪⎨⎪⎪⎪⎪⎪⎪⎩ids = λrefLm+ λrefRr,iqs = Terefnpλref,we = wr + ηLmiqsλref.(6)From the Equation (6), the FOC controller has lower performancein the presence of parameter uncertainties, especiallyin a HEV application due to its inherent open loopdesign. Since the rotor flux dynamics in synchronous referenceframe (λq = 0) are linear and only dependent on thed-current input, the controller can be improved by addingtwo PI regulators on error signals λref − λdr and λqr − 0 asfollowids = λrefLm+ λrefRr+ KPd(λref − λdr)+KId (λref − λdr)dt, (7)iqs = Terefnpλref, (8)we = wr + ηLmiqsλref+ KPqλqr + KIq λqrdt. (9)The Equation (7) and (9) show that current (ids) can controlthe rotor flux magnitude and the speed of the d − q rotatingreference frame (we) can control its orientation correctlywith less sensitivity to motor parameter variations becauseof the two PI Stator voltage decoupling designBased on scalar decoupling theory [5], the stator voltagescommands are given in the form:⎧⎪⎪⎪⎨⎪⎪⎪⎩Uds = Rsids − weσLsiqs = Rsids − weLliqs,Uqs = Rsiqs + weσLsids + LmLrweλref= Rsiqs + weσLsids + weλref .(10)Because of fast and good flux tracking, poor dynamics decouplingperformance exerts less effect on the control Speed-flux observer designBased on the theory of negative feedback, the design ofspeed-flux observer must be robust to motor parameter speed-flux observer here is based on the slidingmode technique described in [6∼8]. The observer equationsare based on the induction motor current and flux equationsin stationary reference frame.⎧⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎨⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎩d˜idsdt= ηβ˜λdr + β ˜ wr˜λqr − γ˜ids +1LlVds,d˜iqsdt= −β ˜ wr˜λdr + ηβ˜λqr − γ˜iqs +1LlVqs,d˜λdrdt= −η˜λdr − ˜ wr˜λqr + ηLm˜ids,d˜λqrdt= ˜wr˜λ dr − η˜λqr + ηLm˜iqs.(11)Define a sliding surface as:s = (˜iqs − iqs)˜λdr − (˜ids − ids)˜λqr. (12)Let a Lyapunov function beV = . (13)After some algebraic derivation, it can be found that when˜ wr = w0sgn(s) with w0 chosen large enough at all time,then ˙V = ˙s · s 0. This shows that s will converge tozero in a finite time, implying the stator current estimatesand rotor flux estimates will converge to their real valuesin a finite time [8]. To find the equivalent value of estimatewr (the smoothed estimate of speed, since estimate wr is aswitching function), the equation must be solved [8]. Thisyields:˜ weq = wr˜λqrλqr + λdr˜λdr˜λ2qr +˜λ2dr −ηnp˜λqrλdr − λqr˜λdr˜λ2qr +˜λ2dr. (14)The equation implies that if the flux estimates converge totheir real values, the equivalent speed will be equal to thereal speed. But the Equation (14) for equivalent speed cannotbe used as given in the observer since it contains unknownterms. A low pass filter is used instead,˜ weq =11 + s · τ˜ wr. (15)Y. LIU et al. / Journal of Control Theory and Applications 2007 5 (1) 42–46 45The same low pass filter is also introduced to the systeminput,which guarantees that the input matches the feedbackin selection of the speed gain w0 has two major constraints:1) The gain has to be large enough to insure that slidingmode can be ) A very large gain can yield to instability of the simulations, an adaptive gain of the slidingmode observer to the equivalent speed is = k1 ˜ weq + k2. (16)From Equation (11), the sliding mode observer structureallows for the simultaneous observation of rotor Flux reference optimal designThe flux reference can either be left constant or modifiedto accomplish certain requirements (minimum current,maximum efficiency, field weakening) [9,10]. In this paper,the flux reference is chosen to maximum efficiency at steadystate and is weaken for speeds above rated. The optimal efficiencyflux can be calculated as a function of the torquereference [9].λdr−opt = |Teref| · 4Rs · L2r/L2m + Rr. (17)Equation (17) states that if the torque request Teref iszero, Equation (8) presents a singularity. Moreover, theanalysis of Equation (17) does not consider the flux fact, for speeds above rated, it is necessary toweaken the flux so that the supply voltage limits are not improved optimum flux reference is then calculatedas:⎧⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎨⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎩λref = λdr-opt,if λmin λdr-opt λdr-rated ·wratedwr-actual,λref = λmin, if λdr-opt λmin,λref = λdr-rated ·wratedwr-actual,if λdr-opt λdr-rated ·wratedwr-actual.(18)where λmin is a minimum value to avoid the division SimulationsThe rated parameters of the motor used in the simulationsare given byRs = Ω, Rr = Ω, Lls = 75 H,Llr = 105 H, Lm = mH, Ls = Lls + Lm,Lr = Llr + Lm, P = 4, Jmot = kgm2,J = Jmot +MR2tire/Rf, ρair = , Cd = = m2, Rf = , Cr = = m, M = 3000 kg, wbase = 5400 rpm,λdr−rated = shows the torque reference curve that representstypical operating behaviors in a hybrid electric . 4 The torque reference torque is modeled by considering the aerodynamic,rolling resistance and road grade forces. Its expression isgiven byTL = RtireRf(12ρairCdAfv2 +MCr cos αg +M sin αg).Figures in [5∼8] show the simulation results of thesystem of (considering variable motor parameters).Though a small estimation error can be noticed on the observedfluxes and speed, the torque tracking is still achievedat an acceptable level as shown in Figs. [5, 6, 8]. The torquecontrol over a wide range of speed presents less sensitivityto motor parameters presents the d and q components of the rotor flux λr is precisely orientated to d-axis because of theimproved PI shows clearly the real and observed speed in thedifferent phases of acceleration, constant and decelerationspeed with the motor control torque of . The variablemodel parameters exert less influence on speed shows the power loss when the rotor flux keeps constantor optimal state. A significant improvement in powerlosses is noticed due to reducing the flux reference duringthe periods of low torque . 5 Motor rotor flux λ Y. LIU et al. / Journal of Control Theory and Applications 2007 5 (1) 42–46Fig. 6 Motor . 7 Power . 8 Motor ConclusionsThis paper has described a sensorless torque control systemfor a high-performance induction motor drive for aHEV case. The system allows for fast and good torquetracking over a wide range of speed even in the presence ofmotor parameters uncertainty. In this paper, the improvedPI-based FOC controllers show a good performance in therotor flux λdr magnitude and its orientation tracking. Thespeed-flux observer described here is based on the slidingmode technique, making it independent of the motor adaptation of the speed -flux observer is used tostabilize the observer when integration errors are present.

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湖南科技学院学报审稿时间

普通学报了，如果你想快的。

三类比如心理医生这类不入流的杂志，甚至不用检测重复比，500左右，不建议发。

湖北科技学院学报投稿格式

这种地方性的小本科的学报，什么核心期刊都不是的！！就是最最最普通的省级期刊。

你好，请问你的审稿周期多长？录用了吗？投稿须知里怎么说一个月未收到录用通知就可以自行处理了。

国家没有任何一个政府部门给刊物划分级别，所谓的刊物级别只是期刊行业的一种认识和一些社会机构推出期刊目录，虽然国家没有划分，可职称评审部门都有对期刊级别的要求。现在一般是分为“核心期刊和普通期刊”两类，以《湖北科技学院学报》(医学版)为例，根据其主办单位，判断为省级期刊。

不是。湖北科技学院学报是一种地方性本科学报，属于省级期刊，不属于任何核心刊物。

《湖北科技学院学报》创刊于1979年，是湖北省教育厅主管，湖北科技学院主办的综合性学术理论刊物。

中国科学引文数据库（Chinese Science Citation Database，简称CSCD）创建于1989年，收录我国数学、物理、化学、天文学、地学、生物学、农林科学、医药卫生、工程技术、环境科学和管理科学等领域出版的中英文科技核心期刊和优秀期刊千余种

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