Article
Engineering, Aerospace
Xinfan Yin, Hongxu Ma, Xianmin Peng, Guichuan Zhang, Honglei An, Liangquan Wang
Summary: To effectively simulate the flight state of a helicopter, trimming is necessary during the forward flight in a wind tunnel test. Previously, the trimming process was carried out manually, resulting in low test efficiency, unstable data quality, and high labor intensity. With the development of computer technology and automatic control technology, the helicopter-wind-tunnel-test trimming technology has been moving towards automation and intelligence. The proposed automatic trimming algorithm improves the efficiency and intelligence level of the wind tunnel test for rotor model aerodynamic loads.
Article
Computer Science, Interdisciplinary Applications
Chan Beom Park
Summary: The calculation of M-2 variables involves solving a constrained minimization problem in mathematical optimization using numerical algorithms. The sequential quadratic programming method is found to perform very well for this task, even outperforming the existing software package implementation.
COMPUTER PHYSICS COMMUNICATIONS
(2021)
Article
Chemistry, Multidisciplinary
Chengfeng Wu, Chunhua Wei, Yong Wang, Yang Gao
Summary: In this study, a signal enhancement method based on cyclic Wiener filtering was proposed for the detection of rotor aerodynamic noise. By performing frequency shifts on the input signal, the noise was successfully filtered out and long-distance detection of helicopters was achieved. Experimental results verified the feasibility and effectiveness of the proposed method.
APPLIED SCIENCES-BASEL
(2022)
Article
Engineering, Aerospace
Kirill Chernov, Uliana Monakhova, Yaroslav Mashtakov, Shamil Biktimirov, Dmitry Pritykin, Danil Ivanov
Summary: The paper presents a study on decentralized control for a satellite formation flying mission. It analyzes the possibility of achieving a pre-defined lineup of the formation by implementing decentralized aerodynamic-based control using sunlight reflectors. The accuracy of the required image construction and convergence time are also studied.
Article
Computer Science, Software Engineering
Sen Na, Mihai Anitescu, Mladen Kolar
Summary: In this paper, we propose a stochastic algorithm based on sequential quadratic programming (SQP) for solving nonlinear optimization problems with a stochastic objective and deterministic equality constraints. We introduce a differentiable exact augmented Lagrangian as the merit function and incorporate a stochastic line search procedure to adaptively select the random stepsizes. The global almost sure convergence for both non-adaptive and adaptive SQP methods is established. Numerical experiments demonstrate the superiority of the adaptive algorithm.
MATHEMATICAL PROGRAMMING
(2023)
Article
Engineering, Aerospace
Abdallah Dayhoum, Mohamed Y. Zakaria, Omar E. Abdelhamid
Summary: This paper presents an unsteady aerodynamic model based on strip theory to predict local aerodynamic loads on helicopter blades in translational flights. The model takes into account various factors, such as unsteady behavior, post-stall, leading-edge suction, and local elastic torsion. A case study is conducted to validate the model using experimental data. The results show that the proposed model can qualitatively predict the variation in both local normal force and pitching moment coefficients.
JOURNAL OF AEROSPACE ENGINEERING
(2022)
Article
Computer Science, Software Engineering
Sen Na, Mihai Anitescu, Mladen Kolar
Summary: We propose an active-set stochastic sequential quadratic programming (StoSQP) algorithm for solving nonlinear optimization problems with a stochastic objective and deterministic constraints. The algorithm uses a differentiable exact augmented Lagrangian as the merit function and adaptively selects penalty parameters. It has been shown to have global convergence and outperforms previous work in terms of nonlinear inequality constraints and sample complexity.
MATHEMATICAL PROGRAMMING
(2023)
Article
Engineering, Mechanical
Derbal Salh Eddine, Khalfallah Smail, Cerdoun Mahfoudh, Tarabet Lyes
Summary: This paper proposes a new strategy to improve the cost-effectiveness of multi-fidelity meta-model-based optimization. The strategy features the mutual adaptive refinement of high fidelity models (HFM) and low fidelity models (LFM) design of experiment sets, resulting in significant reduction in computation time while maintaining solution accuracy.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART E-JOURNAL OF PROCESS MECHANICAL ENGINEERING
(2023)
Article
Engineering, Multidisciplinary
Salah K. ElSayed, Ehab E. Elattar
Summary: This paper introduces a new hybrid algorithm that combines Harris hawks' optimization with sequential quadratic programming for optimal coordination of directional overcurrent relays. The algorithm outperforms recent meta-heuristic techniques in this field.
ALEXANDRIA ENGINEERING JOURNAL
(2021)
Article
Computer Science, Artificial Intelligence
Libin Hong, Xinmeng Yu, Guofang Tao, Ender Ozcan, John Woodward
Summary: In this study, two novel mechanisms were proposed and integrated into particle swarm optimization to enhance the local search capability. By adjusting the subpopulation ratio and utilizing sequential quadratic programming, significant improvement was achieved. Experimental results showed impressive performance compared to state-of-the-art algorithms.
COMPLEX & INTELLIGENT SYSTEMS
(2023)
Article
Mathematics, Applied
Albert S. Berahas, Frank E. Curtis, Daniel Robinson, Baoyu Zhou
Summary: Sequential quadratic optimization algorithms are proposed to solve smooth nonlinear optimization problems with equality constraints, especially focusing on cases where constraint functions are deterministic. The algorithm uses a stepsize selection scheme based on Lipschitz constants for deterministic settings.
SIAM JOURNAL ON OPTIMIZATION
(2021)
Article
Engineering, Aerospace
Orazio Pinti, Assad A. Oberai, Richard Healy, Robert J. Niemiec, Farhan Gandhi
Summary: This study presents a multifidelity approach that combines the advantages of high-fidelity and low-fidelity models to ensure accuracy while improving computational efficiency. The approach is applied to simulate the lift and drag distributions of a two-rotor assembly, and the results demonstrate a significant improvement over low-fidelity models.
Article
Chemistry, Multidisciplinary
Haotian Qi, Ping Wang, Linsong Jiang, Yang Zhang
Summary: A numerical method based on RANS equations and a high-efficiency trim model is developed to simulate the aerodynamics of a coaxial rotor. The study shows that the special noise characteristics of the coaxial rotor are mainly caused by the noise superposition of the twin rotors and the unsteady loads of aerodynamic interaction.
APPLIED SCIENCES-BASEL
(2022)
Article
Mathematics, Applied
Yonggang Pei, Shaofang Song, Detong Zhu
Summary: In this paper, a novel filter sequential adaptive regularization algorithm (ARC) is proposed for solving nonlinear equality constrained optimization. The algorithm employs composite step methods and reduced Hessian methods to handle linearized constraints, and determines the new iteration using ARC framework and filter methods. Experimental results demonstrate the global convergence of the algorithm.
NUMERICAL ALGORITHMS
(2022)
Article
Operations Research & Management Science
Albert S. Berahas, Jiahao Shi, Zihong Yi, Baoyu Zhou
Summary: In this paper, a stochastic method utilizing predictive variance reduction is proposed for solving equality constrained optimization problems. The method is based on the sequential quadratic programming paradigm and employs variance reduction in the gradient approximations. The study proves that a measure of first-order stationarity evaluated at the iterates generated by the proposed algorithm converges to zero in expectation from arbitrary starting points, for both constant and adaptive step size strategies. The practical performance of the algorithm is demonstrated on constrained binary classification problems in machine learning.
COMPUTATIONAL OPTIMIZATION AND APPLICATIONS
(2023)
Article
Chemistry, Multidisciplinary
Qing Wang, Qijun Zhao
APPLIED SCIENCES-BASEL
(2019)
Article
Chemistry, Multidisciplinary
Qing Wang, Qijun Zhao
APPLIED SCIENCES-BASEL
(2020)
Article
Energy & Fuels
Shoutu Li, Qing Wang, Congxin Yang
Summary: In this study, the LB model was improved by considering the operating principle of VAWT to study the dynamic characteristics of different VAWT airfoils. The results showed that the improved LB model is suitable for simulating the dynamic characteristic of VAWT with a thick airfoil. The asymmetric airfoil has a higher lift coefficient but shows significant fluctuation in dynamic characteristic as tip speed ratio increases, while the dynamic characteristic of the symmetric airfoil remains relatively stable with changes in tip speed ratio.
Article
Energy & Fuels
Deshun Li, Ting He, Qing Wang
Summary: This paper investigates the impact of particle parameters on the airfoil dynamic stall through numerical simulation. The study reveals that the addition of particles reduces the aerodynamic performance of the airfoil, especially at large angles of attack. Moreover, the larger the particle diameter, the larger the vortex volume near the airfoil's leading edge, and a significant amount of particles gather at the suction surface of the airfoil. Additionally, as the particle concentration increases, the separation point of the airfoil occurs earlier and the erosion rate of the airfoil increases.
Article
Energy & Fuels
Qing Wang, Deshun Li
Summary: A new method for designing wind turbine airfoils has been established, which generates an airfoil by merging different airfoils to restrict airflow separation and turbulence, resulting in an increase in maximum lift force and a decrease in drag force. Analyses showed that larger scale factor and rotation angle can further enhance lift stall angle and maximum lift force characteristics of the airfoil.
