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Application of sequential quadratic programming method to temperature distribution control in reactor furnace

ISIJ INTERNATIONAL 2005年第3期45卷 347-355页

作者： Ishimaru, K Konishi, M Imai, J Nishi, T Okayama Univ Grad Sch Nat Sci & Technol Okayama 7008530 Japan Okayama Univ Dept Elect & Elect Engn Okayama 7008530 Japan

Recently, various studies have been undertaken to examine the inner furnace phenomena of a blast furnace. These studies are limited, however, to the evaluation of furnace performance while a designed method of furnace control remains unfulfilled. This paper proposes a method of estimating temperature distribution in a reactor furnace using boundary data in order to control inner target furnace temperature distribution. Initially, a simplified furnace simulation program for the calculation of inner furnace gas flow, pressure and temperature distribution is developed. Following that, the simulator is used to estimate and control inner furnace temperature distribution. In the estimation, boundary data such as temperature and pressure, measured near a furnace wall, are used in the furnace simulation. Then, for the control of inner furnace temperature distribution, necessary values for gas blowing at the bottom of the furnace and the burden supply at the top of the furnace are used. Both for the estimation and the control of the inner furnace temperature distribution, a sequential quadratic programming method, a method of the iterative optimization, is applied. In our method, an estimation of inner furnace temperature distribution is done as preparation for the determination of furnace control variables. Through numerical experiments, the validity of our method is demonstrated, showing that the temperature distribution in a furnace can be regulated to the desired one after iterative control operations.

关键词： sequential quadratic programming method optimization reactor furnace temperature distribution

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Geometry optimization for proton-exchange membrane fuel cells with sequential quadratic programming method

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JOURNAL OF POWER SOURCES 2009年第1期186卷 10-21页

作者： Xing, Xiu Qing Lum, Kah Wai Poh, Hee Joo Wu, Yan Ling Inst High Performance Comp Singapore 138632 Singapore

Integration between COMSOL Multiphysics (TM) and MATLAB (TM) offers a useful option for the self-automated geometry optimization in proton-exchange membrane fuel cells (PEMFCS). It overcomes the difficulties of automatically re-generating high-quality computational meshes and subsequently running the simulations to evaluate the objective function values using commercial software in computational fuel cell dynamics-based designs. Geometry optimization studies of an air-breathing PEMFC searching for the optimum channel ratio at the anode and the optimum open ratio at the cathode, are undertaken. A sequential quadratic programming method is selected to deal with the constrained design problems, while the objective functions are evaluated by running the three-dimensional simulation script of COMSOL (TM) under the MATLAB (TM) environment. Simulation results show that for the air-breathing PEM fuel cell operated at 353 K and one standard atmosphere pressure, when the anode channel ratio is fixed at 10%. the optimum cathode open ratios are very similar for the cell operated at voltages of 0.7 and 0.4V, namely, 49.8% for 0.7 V and 49.5% for 0.4 V. When the cathode open ratio is set at 80% with a cell voltage of 0.7 V, the optimum anode channel ratio is found to be 34.7%. (c) 2008 Elsevier B.V. All rights reserved.

关键词： Geometry optimization Proton exchange membrane fuel cell sequential quadratic programming method

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Quantitative analysis of neutron captured γ spectra using a sequential quadratic programming method

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JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING 2014年 124卷 1-6页

作者： Wu, Wensheng Zhang, Lijuan Luo, Li China Univ Petr State Key Lab Petr Resources & Prospecting Beijing Peoples R China CNPC CCDC Well Logging Co Chongqing Peoples R China

High-precision, quantitative analysis is a key element in ensuring that neutron captured 7 spectral logging can be used to accurately distinguish rock minerals and rock types from complex reservoirs. We solve a nonlinear optimization problem by implementing a sequential quadratic programming method into a quantitative spectral analysis. To quantitatively test our method, we build three kinds of formation models with different porosities: a sandstone model, a mixed model of sandstone and limestone, and mixed model of sandstone, limestone, and ferric oxide. Combining results from Monte Carlo simulations, we analyze quantitatively the mixed spectra of the models using a sequential quadratic programming method and compare the results to those obtained with the weighted least-squares method. The results indicate that the sequential quadratic programming method can ensure high-precision, quantitative spectral analysis and that its spectral analysis precision is slightly higher than that of the weighted least-squares method. The sequential quadratic programming method has higher ability of adapting to complex lithology formation and can be used to analyze quantitatively the neutron gamma spectrum in complex lithology formations. (c) 2014 Elsevier B.V. All rights reserved.

关键词： geochemical logging quantitative analysis sequential quadratic programming method

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Shape and Thickness Optimization Performance of a Beam Structure by sequential quadratic programming method

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JOURNAL OF FAILURE ANALYSIS AND PREVENTION 2007年第1期7卷 50-55页

作者： Jarraya, A. Dammak, F. Abid, S. Haddar, M. Natl Sch Engn Dept Mech Engn Mech Modelling & Prod Res Unit Sfax 3038 Tunisia

Successful performance of beam structures is critical to failure prevention, and beam performance can be optimized by careful consideration of beam shape and thickness. Shape and thickness optimization of beam structures having linear behaviour is treated. The first problem considered is the thickness distribution of the beam where the optimization variable is the thickness of the control points. The second problem is the shape optimization where the optimization variables are the ordinates of the control points. The optimization criterion (function objective to be minimized) is defined starting with the Von Mises criterion expressed in plane constraints. The resolution of the mechanical problem is made by the finite element method, and the optimization algorithm is the sequential quadratic programming (SQP) method.

关键词： Finite elements Beams element Parameterization Optimization sequential quadratic programming method

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Shape Optimization for Arch Dam with sequential quadratic programming method

Shape Optimization for Arch Dam with Sequential Quadratic Pr...

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4th International Conference on Civil Engineering, Architecture and Building Materials (CEABM)

作者： Duan, Yin Yuan, Wei Liu, Huibo Changjiang Inst Survey Planning Design & Res Wuhan 430010 Peoples R China Wuhan Univ State Key Lab Water Res & Hydropower Engn Sci Wuhan 430072 Peoples R China

ISBN: (纸本)9783038351658

The sequential quadratic programming method is introduced in arch dam shape optimization design. In the optimization computation, the arch dam volume is taken as objective function, and the calculation is realized by automatically considering loading process, equivalent stress computation and simulation of shape optimization for arch dam based on FEM. A parabola arch dam is used as a numerical example. The result shows that the optimized figure is much safer and more practical, which indicates that the SQP method is an effective way for optimization design of arch dam shape.

关键词： Arch dam Optimization design FEM sequential quadratic programming method

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An interior point sequential quadratic programming-type method for log-determinant semi-infinite programs

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JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS 2020年 376卷 112784-000页

作者： Okuno, Takayuki Fukushima, Masao RIKEN Ctr Adv Intelligence Project AIP Chuo Ku Nihonbashi 1 Chome Mitsui Bldg15th Floor Tokyo 1030027 Japan Nanzan Univ Fac Sci & Engn Showa Ku 18 Yamazato Cho Nagoya Aichi 4668673 Japan

In this paper, we consider a nonlinear semi-infinite program that minimizes a function including a log-determinant (logdet) function over positive definite matrix constraints and infinitely many convex inequality constraints. We call this problem SIPLOG, where SIP stands for Semi-Infinite Program and LOG comes from LOG-det function. The main purpose of the paper is to develop an algorithm for efficiently computing a Karush-Kuhn-Tucker (KKT) point for the SIPLOG. More specifically, we propose an interior point sequential quadratic programming-type method that solves inexactly a sequence of semi-infinite quadratic programs approximating the SIPLOG. Furthermore, to generate a search direction in the dual matrix space associated with the semi-definite constraint, we solve scaled Newton equations that yield the family of Monteiro-Zhang directions. We prove that the proposed method weakly* converges to a KKT point under some mild assumptions. Finally, we conduct some numerical experiments to demonstrate the efficiency of the proposed method. (C) 2020 Elsevier B.V. All rights reserved.

关键词： Semi-infinite program Log-determinant Interior point method sequential quadratic programming method Exchange method

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Optimization control for the far-distance rapid cooperative rendezvous of spacecraft with different masses

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AEROSPACE SCIENCE AND TECHNOLOGY 2015年第Sep.期45卷 449-461页

作者： Feng, Weiming Zhao, Di Shi, Lei Yang, Kun Zhao, Junfeng Shandong Univ Dept Engn Mech Jinan 260062 Peoples R China Washington Univ Dept Mech Engn & Mat Sci St Louis MO 63130 USA

In this study, the dynamics equation of orbital elements without singularities is used to describe the far-distance cooperative rendezvous of two spacecraft with different masses. The convergent costate vector is obtained using the particle swarm optimization with differential evolution (PSODE) hybrid algorithm to optimize the far-distance cooperative rendezvous process of the spacecraft. This vector is then used as the initial value for a sequential quadratic programming (SQP) algorithm to again optimize within a small range to obtain a convergent, stable solution. This study focuses on optimizing the control of the far-distance rapid cooperative rendezvous of spacecraft with different masses and explores the interactions between the magnitude of the thrust, the duration of the rendezvous, and the fuel consumption. Optimization simulation results indicate that when the rendezvous duration is limited to within a certain interval, the optimal process for the rendezvous of spacecraft with different masses is a cooperative manoeuvring type, and an increase in thrust will significantly save fuel. In the case of unrestricted rendezvous duration, as the thrust increases, the rendezvous time decreases, but there is little change in the total fuel consumption. (C) 2015 Elsevier Masson SAS. All rights reserved.

关键词： Cooperative rendezvous Active-passive rendezvous Optimization control Particle swarm and differential evolution hybrid algorithm sequential quadratic programming method

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Optimal velocity prediction for fuel economy improvement of connected vehicles

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IET INTELLIGENT TRANSPORT SYSTEMS 2018年第10期12卷 1329-1335页

作者： Barik, Biswajit Bhat, Pradeep Krishna Oncken, Joseph Chen, Bo Orlando, Joshua Robinette, Darrell Michigan Technol Univ Mech Engn Engn Mech Dept Houghton MI 49931 USA Michigan Technol Univ Elect & Comp Engn Dept Houghton MI 49931 USA

With the advancement of vehicle-to-vehicle and vehicle-to-infrastructure technologies, more and more real-time information regarding traffic and transportation system will be available to vehicles. This paper presents the development of a novel algorithm that uses available velocity bounds and powertrain information to generate an optimal velocity trajectory over a prediction horizon. When utilised by a vehicle, this optimal velocity trajectory reduces fuel consumption. The objective of this optimisation problem is to reduce dynamic losses, required tractive force, and completing trip distance with a given travel time. sequential quadratic programming method is employed for this nonlinearly constrained optimisation problem. When applied to a GM Volt-2, the generated velocity trajectory saves fuel compared to a real-world drive cycle. The simulation results confirm the fuel consumption reduction with the rule-based mode selection and the energy management strategy of a GM Volt 2 model in Autonomie.

关键词： energy management systems fuel economy vehicular ad hoc networks quadratic programming optimal velocity prediction fuel economy improvement connected vehicles vehicle-to-vehicle technology vehicle-to-infrastructure technology traffic system transportation system velocity bounds powertrain information optimal velocity trajectory generation prediction horizon fuel consumption reduction dynamic loss reduction tractive force requirement trip distance completion travel time sequential quadratic programming method nonlinearly constrained optimisation problem rule-based mode selection energy management Autonomie

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Novel repeatable launch locking/unlocking device for magnetically suspended momentum flywheel

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MECHATRONICS 2018年 54卷 16-25页

作者： Liu, Qiang Wang, Kun Ren, Yuan Peng Peilan Ma Limei Yin, Zhaojing Beijing Inst Petrochem Technol Inst Precis Electromagnet Equipment & Adv Measure Beijing Peoples R China Beihang Univ Key Lab Inertial Technol Beijing Peoples R China Space Engn Univ Sch Aerosp Sci & Technol Beijing Peoples R China

Because one-shot launch locking/unlocking device (OSLLUD) cannot repeat locking/unlocking, and repeatable launch locking/unlocking device (RLLUD) has an insufficient reliability of implementing unlocking, a novel RLLUD consisting of a motor, wire rope and several same flexible brackets was proposed. The composition, operating principle and functional performance requirements were introduced. A single flexible bracket was equivalent to a cantilever beam-mass model, and its static and dynamic performances were analyzed. Design variables were selected according to the sensitivity analysis method. Unlocking force, the maximum stress and the first resonance frequency were concerned, and the flexible brackets were optimized through the comparison and the sequential quadratic programming methods. The RLLUD was manufactured according to the optimization results. The environmental mechanics tests of tri-axial swept-sine and random vibration were carried out to verify the protective effect of the novel RLLUD for magnetically suspended momentum flywheel (MSMFW) during launch. The results show that the maximum macroscopic vibration is less than the protection gap of the flywheel, and its locking protective effect is valid and sufficient.

关键词： Magnetically suspended momentum flywheel Launch locking/unlocking device Optimization design sequential quadratic programming method Finite element method

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Magnetic flux leakage modelling and optimisation of a CRAHMB for DC motor

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IET ELECTRIC POWER APPLICATIONS 2017年第2期11卷 212-221页

作者： Ren, Xiaojun Le, Yun Sun, Jinji Han, Bangcheng Wang, Kun Fundamental Sci Novel Inertial Instrument & Nav S Beijing 100191 Peoples R China Beihang Univ Sch Instrument Sci & Optoelect Engn Beijing 100191 Peoples R China Beijing Univ Aeronaut & Astronaut Beijing Engn Res Ctr High Speed Magnetically Susp Beijing 100191 Peoples R China

In this study, a combined radial-axial hybrid magnetic bearing (CRAHMB) with four poles is designed for high-speed brushless DC motor. Owing to the small distance of radial and axial unit of CRAHMB, the magnetic flux leakage (MFL) in both radial and axial directions is complex and serious. This study focuses on effective analytical model and optimisation of CRAHMB including flux leakage of permanent magnet circuit and control electromagnetic circuit. MFL analytical model was built based on equivalent magnetic circuit method. Under the condition of satisfying the maximum bearing capacity, the MFL coefficients were optimised with sequence quadratic programming method. A set of optimum parameters were suggested. MFL before and after optimisation are compared by finite element method. Finally, current stiffness calculated with optimised analytical model was verified on a DC motor experiment. The result shows the accuracies of both the axial and radial current stiffness are enhanced.

关键词： magnetic flux magnetic bearings brushless DC motors magnetic leakage permanent magnets magnetic circuits equivalent circuits quadratic programming finite element analysis magnetic flux leakage modelling optimisation CRAHMB combined radial-axial hybrid magnetic bearing high speed brushless DC motor permanent magnet circuit control electromagnetic circuit MFL analytical model equivalent magnetic circuit method maximum bearing capacity sequential quadratic programming method finite element method

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