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      • Comparative Analysis of PSO Algorithms for PID Controller Tuning

        The active magnetic bearing(AMB) suspends the rotating shaft and maintains it in levitated position by applying controlled electromagnetic forces on the rotor in radial and axial directions. Although the development of various control methods is rapid, PID control strategy is still the most widely used control strategy in many applications, including AMBs. In order to tune PID controller, a particle swarm optimization(PSO) method is applied. Therefore, a comparative analysis of particle swarm optimization(PSO) algorithms is carried out, where two PSO algorithms, namely (1) PSO with linearly decreasing inertia weight(LDW-PSO), and (2) PSO algorithm with constriction factor approach(CFA-PSO), are independently tested for different PID structures. The computer simulations are carried out with the aim of minimizing the objective function defined as the integral of time multiplied by the absolute value of error(ITAE). In order to validate the performance of the analyzed PSO algorithms, one-axis and two-axis radial rotor/active magnetic bearing systems are examined. The results show that PSO algorithms are effective and easily implemented methods, providing stable convergence and good computational efficiency of different PID structures for the rotor/AMB systems. Moreover, the PSO algorithms prove to be easily used for controller tuning in case of both SISO and MIMO system, which consider the system delay and the interference among the horizontal and vertical rotor axes....

        2020-12-06 21:11:24瀏覽:29 PIDgaintuningsystemstructuresparticleswarmoptimization

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      • Stability Analysis for Stochastic Optimization Problems

        Stochastic optimization offers a means of considering the objectives and constrains with stochastic parameters. However, it is generally difficult to solve the stochastic optimization problem by employing conventional methods for nonlinear programming when the number of random variables involved is very large. Neural network models and algorithms were applied to solve the stochastic optimization problem on the basis of the stability theory. Stability for stochastic programs was discussed. If random vector sequence converges to the random vector in the original problem in distribution, the optimal value of the corresponding approximation problems converges to the optimal value of the original stochastic optimization problem....

        2020-12-06 21:11:24瀏覽:29 stochasticoptimizationStabilityconvergenceindistribution

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      • ANALYTIC SENSITIVITY ANALYSIS FOR SHAPE OPTIMIZATION

        Analytic sensitivity analysis technology for the boundary element method (BEM) is presented, combined with a shape optimization system for structural analysis. A shape optimization was done for an elastomer under planar stress, based on this new algorithm. A multi-object problem was studied as an illustrative example for the progranmer, using weighted summing method. The result is feasible....

        2020-11-22 17:58:37瀏覽:32 BEMdesignsensitivityAnalysisshapeoptimizationsquareplatewithAhole

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      • Fitting function representation for strain fields and its application to the optimizing process

        A fitted function method to describe the strain fields during forging was discussed to optimize the homogeneous distribution of strain in the axial forging zones during successive stretching. The results are verified by experiment and numerical simulation, and the devia-tions between experiment and simulation are less than 24%. Therefore, the fitted function method can be applied to optimize the stretching process for large forgings. The optimal value of feed determined by the analytic method ensures that the degree of inhomogeneity in strain in the axial ingot zone is less than 6%. This work provides a mathematic model to optimize technological parameters in stretch forging of large ingots....

        2020-11-22 17:58:37瀏覽:24 forgingstrainFittingfunctionrepresentationoptimization

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      • Toxicity Reduction of Municipal Wastewater by Anaerobic-anoxic-oxic Process

        Objective This study was conducted to optimize the operational parameters of anaerobic-anoxic-oxic (A2/O) processes to reduce the toxicity of municipal wastewater and evaluate its ability to reduce toxicity. Methods A luminescent bacterium toxicity bioassay was employed to assess the toxicity of influent and effluent of each reactor in the A2/O system. Results The optimum operational parameters for toxicity reduction were as follows: anaerobic hydraulic retention time (HRT) = 2.8 h,anoxic HRT = 2.8 h, aerobic HRT = 6.9 h, sludge retention time (SRT) = 15 days and internal recycle ratio (IRR) = 100%. An important toxicity reduction (%) was observed in the optimized A2/O process, even when the toluene concentration of the influent was 120.7 mg.L-1. Conclusions The toxicity of municipal wastewater was reduced significantly during the A2/Oprocess. A2/O process can be used for toxicity reduction of municipal wastewater under toxic-shock loading....

        2020-11-22 17:58:37瀏覽:32 processmunicipalwastewatertoxicityreductionoptimization

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      • Numerical simulation and process optimization for producing large-sized castings

        3-D velocity and temperature fields of mold filling and solidification processes of large-sized castings were calculated, and the efficiency and accuracy of numerical calculation were studied. The mold filling and solidification processes of large-sized stainless steel, iron and aluminum alloy castings were simulated by using of new scheme; their casting processes were optimized, and then applied to produce castings....

        2020-11-22 17:58:37瀏覽:29 numericalsimulationmoldfillingSolidificationprocessoptimization

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      • Analyzing the Simple Ranking and Selection Process for Constrained Evolutionary Optimization

        Many optimization problems that involve practical applications have functional constraints, and some of these constraints are active, meaning that they prevent any solution from improving the objective function value to the one that is better than any solution lying beyond the constraint limits. Therefore, the optimal solution usually lies on the boundary of the feasible region. In order to converge faster when solving such problems, a new ranking and selection scheme is introduced which exploits this feature of constrained problems. In conjunction with selection, a new crossover method is also presented based on three parents. When comparing the results of this new algorithm with six other evolutionary based methods, using 12 benchmark problems from the literature, it shows very encouraging performance. T-tests have been applied in this research to show if there is any statistically significance differences between the algorithms. A study has also been carried out in order to show the effect of each component of the proposed algorithm....

        2020-11-11 22:33:38瀏覽:27 constrainedcontinuousoptimizationEvolutionarycomputationgeneticalgorithms

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      • Optimization of Pt and Pd Displacement Process of Au Reduced Solution

        The question existed in the displacement of platinum and palladium from Au reduced solution was analyzed. The process optimization scheme was put forward and adopted to practice and has achieved a good result....

        2020-11-11 22:33:38瀏覽:27 PtandPddisplacementoptimization

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      • Evaluation of Process Capability in Gas Carburizing Process to Achieve Quality through Limit Design

        Steel is the most important metallic material used in industry. This is because of the versatility of its engineering properties under different conditions. In one condition it can be very mild, soft and suitable for any forming operation. In another condition the same steel can be very hard and strong. This versatility is made possible by the different heat treatments that the steel can be subject to. One such treatment is Gas carburizing. This is the most widely used process for surface hardening of low carbon steels. In this method the surface composition of the steel changes by diffusion of carbon and or nitrogen and result in hard outer surface with good wear resistance properties. A striking feature of Gas Carburizing process is that in this process the original toughness and ductility remains unaffected even after heat treatment. 3% nickel chromium case hardened low carbon steels are widely used for critical automotive and machine applications such as rack and pinion, gears, camshaft, valve rocker shafts and axles which requires high fatigue resistance. Fatigue behaviour of case carburized parts depends to a great extent on the correct combination of Hardness Penetration Depth (HPD) and the magnitude of hardness at the surface and beneath the surface with low size and shape distortion. In order to reduce the manufacturing costs in terms of material consumption and elimination of the number of processing steps, the effect of Gas carburizing parameters on the fatigue behaviour should already be considered in the parameter design stage. Therefore it is of importance to optimize the gas carburizing process variables to attain quality products with respect to hardness and case depth. In the present paper, the evaluation of process capability was carried out through a Limit Design Concept called orthogonal array design of experiment. To optimize the process variables the influence of several parameters (Holding time,Carbon potential, Furnace temperature and Quench time) of the gas carburizing process on the micro hardness, total case depth, effective case depth and level of distortion of AISI 8620 steel were discussed....

        2020-11-11 22:33:38瀏覽:36 gascarburizingoptimizationcarbonpotentialholdingtimequenching

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      • OPTIMIZATION STUDY IN MANUFACTURING PROCESS FOR PC/ABS BLENDS

        The optimization of injection molding process for polycarbonate/acrylonitrile-butadiene-styrene (PC/ABS) blends is studied using Taguchi method and principal component analysis (PCA). Four controllable process factors are studied at three levels each in the manufacturing process. The L9 orthogonal array is conducted to determine the optimum process factor/level combination for single quality of mechanical properties. In addition, the principal component analysis is employed to transform the correlated mechanical properties to a set of uncorrelated components and to evaluate a comprehensive index for multi-response cases. Then the optimum process factor/level combination for multiple qualities can be determined. Finally, the analysis of variance is used to find out the most influential injection molding parameter for single and multiple qualities problems....

        2020-11-10 09:33:08瀏覽:33 injectionmoldingoptimizationTaguchimethodprincipalcomponent

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      • 循環水系統在漏氨情況下的優化運行

        針對合成氨裝置換熱器泄漏,導致循環水系統氨含量升高問題,分析系統漏氨的危害,漏氨情況下采取降低濃縮倍數、調整水質穩定劑投加比例、實時采取不同的殺菌劑投加方式和種類等優化調整措施,確?;恃b置安全、穩定、長周期運行。...

        2020-11-10 09:33:08瀏覽:27 循環水漏氨優化措施recycledwaterammonialeakageoptimizationmeasures

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      • 玻璃工廠冷卻循環水系統優化設計

        介紹了傳統循環水系統和優化循環水系統的流程設計區別,比較占地面積、建設投資、運行成本,陳述了事故保障措施。...

        2020-11-10 09:33:08瀏覽:27 冷卻循環水系統優化設計coolingcirculatingwatersystemoptimizationdesign

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      • 165 MW機組循環水系統邏輯優化

        蘭州西固熱電廠165 MW機組循環水系統為母管制運行方式。其水泵出口門為低位置電動門,循環水坑水位高時有水淹危險,存在安全隱患。針對此問題對循環水系統進行整改,并將循環水系統邏輯進行優化。...

        2020-11-09 23:27:06瀏覽:34 循環水系統邏輯優化circulatingwatersystemlogicoptimization

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      • Mathematical modeling of a slurry reactor for DME direct synthesis from syngas

        In this paper,an axial dispersion mathematical model is developed to simulate a three-phase slurry bubble column reactor for direct synthesis of dimethyl ether (DME) from syngas.This large-scale reactor is modeled using mass and energy balances,catalyst sedimentation and single-bubble as well as two-bubbles class flow hydrodynamics.A comparison between the two hydrodynamic models through pilot plant experimental data from the literature shows that heterogeneous two-bubbles flow model is in better agreement with the experimental data than homogeneous single-bubble gas flow model.Also,by investigating the heterogeneous gas flow and axial dispersion model for small bubbles as well as the large bubbles and slurry (i.e.including paraffins and the catalyst) phase,the temperature profile along the reactor is obtained.A comparison between isothermal and non-isothermal reactors reveals no obvious performance difference between them.The optimum values of reactor diameter and height were obtained at 7 m and 50 m,respectively.The effects of operating variables on the axial catalyst distribution,DME productivity and CO conversion are also investigated in this research....

        2020-11-03 10:30:25瀏覽:26 modelinglarge-scaleslurrybubblecolumnoptimizationdimethylethersynthesis

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      • 丙烯精餾系統操作的優化對策

        針對大慶老區乙烯裝置丙烯精餾系統運行中出現的問題,對操作過程進行優化調整,達到降低丙烯損失的目的。...

        2020-10-26 22:14:25瀏覽:21 丙烯精餾系統操作優化降低損失propylenedistillationsystemoptimizationmeasuresreducing

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      • 石榴籽油提取工藝的研究

        以石榴籽為原料,利用超聲波輔助有機溶劑提取石榴籽油,在單因素試驗的基礎上,通過正交試驗研究了料液比、提取時間、提取溫度、超聲波功率對石榴籽油得率的影響,確定了超聲波輔助提取石榴籽油的最佳工藝條件.結果表明,石榴籽油的最佳提取工藝條件為:料液比1: 20,提取時間40 min,提取溫度50 ℃,超聲波功率400 W.在該條件下石榴籽油得率為21.77%....

        2020-10-26 22:14:25瀏覽:36 石榴籽油超聲波提取工藝優化Pomegranateseedoilultrasonicextractionprocessoptimization

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      • WSI Polycide工藝的研究

        文章基于0.5μm CMOS工藝,研究了造成Polycide工藝中WSI剝落、色斑等異?,F象的原因。同時,研究了WSI淀積前清洗、退火溫度及Cap Layer層對WSI薄膜翹曲度及應力的影響,并通過實驗優化,以大量的數據為依據,對影響WSI薄膜特性的工藝參數進行調試和論證,主要考察更改各條件對圓片翹曲度及應力的變化,并通過顯微鏡鏡檢圓片表面,獲得了0.5μm Polycide工藝較優的工藝條件。實驗結果表明,在WSI淀積后增加Cap Layer層工藝對Polycide工藝工期WSI剝落、色斑等異常有較好的改善作用,且圓片表面形貌能達到MOS器件的工藝制造要求。...

        2020-10-22 17:35:41瀏覽:48 WSICapLayer層優化Polycide應力layeroptimizationstress

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      • 合成氣一步法制二甲醚分離工藝流程優化模擬

        為獲得合成氣經漿態床一步合成二甲醚最優的分離流程和工藝參數,運用化工流程模擬軟件Aspen Plus對3種分離工藝過程進行了模擬分析.提出用水吸收一步反應氣相產物中的二甲醚,再用兩個精餾塔分離吸收液的工藝流程,模擬過程中汽液相平衡采用NRTL熱力學模型.對從吸收液中分離二甲醚的3種方法進行了模擬計算值的比較,并與文獻中的實驗值做了比較,最后采用了先通過第一精餾塔塔頂分離出CO2,塔底出甲醇和二甲醚,再通過第二精餾塔分離二甲醚和甲醇的方法.此種分離流程可使二甲醚的回收率達到91.1%,產品濃度達到99.96%,高于文獻報道的結果.并對吸收塔的溫度、操作壓力、液氣比、塔板數等參數以及2個精餾塔的溫度、壓力、塔板數等參數進行了優化模擬,確定了優化的工藝和設備參數.最優的分離流程尚需經過回收率和操作費用綜合經濟核算來確定....

        2020-10-22 17:35:41瀏覽:34 合成氣二甲醚一步法優化模擬syngasdimethyletherone-stepmethodoptimizationsimulation

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      • 合成氣裝置炭黑洗滌系統的優化運行

        論述了因重油粘度大幅度升高,導致裂化氣中炭黑含量升高,堵塞炭黑洗滌系統的多個部位,影響氣化爐的安全穩定運行;找到了堵塞的原因;采取有效措施進行優化,提高了炭黑洗滌系統的處理能力,保證了老裝置的安全穩定運行....

        2020-10-02 20:35:09瀏覽:42 堵塞重油粘度霧化洗滌優化Blockageheavyoilviscosityatomizationwashingoptimization

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      • PSO優化算法的參數研究

        分析了慣性權重與學習因子對算法性能的影響,相應提出了幾種調整策略并對其優缺點進行比較,之后基于前人的基礎數據,借助Matlab軟件進行編程,對6種組合調整策略進行優化試驗,并與前人試驗的最優解進行比較,最終通過試驗數據,找出了一種較為可行的優化調整策略....

        2020-09-30 09:14:00瀏覽:29 PSO算法慣性權重學習因子最優解particleswarmoptimization(PSO)inertiaweightlearning

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      • 采區上部車場優化設計

        微山湖礦業集團崔莊煤礦四采區上部車場,通過優化設計提高了煤炭資源回收及施工效率,減少了掘進工程量,縮短了施工工期,為今后同類車場設計施工積累了經驗,提供了安全可靠的技術保障....

        2020-09-30 09:14:00瀏覽:26 上部車場優化設計應用upperyardoptimizationdesignapplication

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      • 車身結構安全優化

        針對某車型進行了正面40%可變形壁障碰撞試驗,基于hypermesh分析了試驗車車身侵入量過大的原因,并對車身前圍板骨架、機艙、地板縱梁和前柱加強板結構進行了優化。結果表明,車身結構優化后,有效地改善了車身入侵量,降低了車身罰分,提高了車身碰撞性能,保證了汽車的安全性。...

        2020-09-30 09:14:00瀏覽:23 碰撞試驗車身結構優化Crashtestbodystructureoptimization

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      • 滲流問題的拓撲優化

        分析拓撲優化中的密度懲罰函數插值法SIMP(Solid isotropic material with penalization model),將結構力學中的拓撲優化方法應用到滲流問題的拓撲優化設計中,用有限元的方法建立了簡單的理想狀態下的滲流問題的拓撲優化數學模型,并采用基于剃度法的數值解法-優化準則法(OC系列算法),以設計具有最小能量損耗情況下的流體最佳流動路徑的拓撲分布。以一組二維滲流問題為例,說明了該模型的有效性,為滲流問題的優化設計提供了一種有效的新思路和方法。...

        2020-09-30 09:14:00瀏覽:29 拓撲優化滲流最小能量損耗最佳流動路徑topologyoptimizationSeepageflowenergydissipation

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      • 高校網站的優化與推廣

        隨著網絡技術的快速發展,網站成為獲取、發布和傳遞信息的重要渠道。以高校網站為例,分析網站優化的解決方法,并研究網站推廣方法,從而提升網站的訪問量、擴大網站的宣傳范圍。...

        2020-09-30 09:14:00瀏覽:26 網站優化SEO搜索引擎推廣websiteoptimizationsearchenginepromotion

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      • 對給定任務的機構參數優化

        針對給定任務的機構參數優化問題,提出了一種由兩款軟件協同的聯合仿真設計方法.首先,利用MATLAB/SimMechanics工具箱建立了平面四桿機構的機械系統模型;其次,借助于Isight-FD建立該優化問題的目標函數;最后,通過聯合仿真分析得到了滿足任務要求的一組最優參數.仿真結果表明,優化后的仿真曲線能夠很好地逼近于給定的任務軌跡,保證了工作路徑的擬合精度.該種聯合仿真設計方法結合了不同種軟件自身的優勢,具有便捷、高效和直觀的特點,對于其他不同樣式的機構和結構參數優化具有指導和借鑒意義....

        2020-09-30 09:14:00瀏覽:31 參數優化聯合仿真Isight-FDParametersoptimizationCo-Simulation

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