A Study of Multi-Objective Aerodynamic Optimization Design for Variable Camber Airfoils and High Lift Devices

Zhou, Wangyi; Bai, Junqiang; Qiao, Li; Qiu, Yasong; Liu, Rui; Shen, Guangqiu

doi:10.1051/jnwpu/20183610083

Cited by 5 publications

(3 citation statements)

References 6 publications

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“…The provincial economy is an important part of the national economy and is relatively independent. Therefore, many research literatures believe that the provincial economy is a relatively independent research object and an important research level of macroeconomics [ 1 , 2 ]. Although the current economic operation is generally stable, to achieve better and more effective sustainable development in the future, we should constantly summarize the problems exposed on the development road and solve them in time [ 3 ].…”

Section: Introductionmentioning

confidence: 99%

[Retracted] Macroeconomic Image Analysis and GDP Prediction Based on the Genetic Algorithm Radial Basis Function Neural Network (RBFNN‐GA)

Zhu

Meng

2021

Computational Intelligence and Neuroscience

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The prediction of gross domestic product (GDP) is a research hotspot, and its importance is self-evident. Its complex internal change mechanism also increases the difficulty of analyzing GDP data. The genetic algorithm (GA) is applied to the parameter design of the radial basis function neural network (RBFNN) based on genetic algorithm optimization (RBFNN-GA). An economic zone GDP image prediction model is proposed, which realizes the optimal design of the center vector, the base width vector of the RBFNN node function, and the weight between the hidden layer and output layer. Based on the GDP data over the years, this paper uses the RBFNN-GA prediction model to analyze and predict the GDP image and compares the image prediction results. The results show that the genetic algorithm is used to optimize RBFNN, which gives full play to the advantages of the two algorithms. The relative error of the RBFNN-GA prediction model is only 3.52%. Compared with the prediction results, the prediction accuracy is significantly higher than the ARIMA time series model and GM (1,1) model.

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Section: Introductionmentioning

confidence: 99%

[Retracted] Macroeconomic Image Analysis and GDP Prediction Based on the Genetic Algorithm Radial Basis Function Neural Network (RBFNN‐GA)

Zhu

Meng

2021

Computational Intelligence and Neuroscience

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show abstract

“…Wei M proposed a UAV flight path search model in combination with the multi-objective optimization algorithm and verified the effectiveness of the model through experimental comparison [10]. Zhou W applied the multi-objective optimization algorithm to the research of UAV flight efficiency, which improved the flight efficiency through path arrangement [11]. These researches on the application of multi-objective optimization algorithm to UAV are relatively detailed, but there are few related to UAV path planning modeling.…”

Section: Introductionmentioning

confidence: 99%

Intelligent Planning Modeling and Optimization of UAV Cluster Based on Multi-Objective Optimization Algorithm

Yang¹,

Huang²

2022

Electronics

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As a flight tool integrating carrier and reconnaissance, unmanned aerial vehicles (UAVs) are applied in various fields. In recent years, mission planning and path optimization have become the most important research focuses in the field of UAVs. With the continuous maturity of artificial intelligence technology, various search algorithms have been applied in the field of unmanned aerial vehicles. However, these algorithms have certain defects, which lead to problems, such as large search volume and low efficiency in task planning, and cannot meet the requirements of path planning. The objective optimization algorithm has a good performance in solving optimization problems. In this paper, the intelligent planning model of UAV cluster was established based on multi-objective optimization algorithm, and its path is optimized. In the aspect of modeling, this paper studied and analyzed online task planning, search rules and cluster formation control using an agent-based intelligent modeling method. For mission planning and optimization, it combined multi-objective optimization algorithm to build the model from three aspects of mission allocation, route planning and planning evaluation. The final simulation results showed that the UAV cluster intelligent planning modeling method and path optimization method based on multi-objective optimization algorithm met the requirements of route design and improved the path search efficiency with 2.26% task completion satisfaction.

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“…The general development trend of the high-lift device is to simplify the mechanism design as much as possible on the basis of ensuring the aerodynamic performance [1]. In recent years, the simple single slot hinged flap has become a new high-lift device design plan because of its light weight, simple structure and high reliability [2], and can realize linkage deflection with the spoiler [3].…”

Section: Introductionmentioning

confidence: 99%

Dynamic simulation of flap mechanism considering assembly error

Xue

Yang

et al. 2022

J. Phys.: Conf. Ser.

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The existence of assembly error will have an impact on the kinematic accuracy and dynamic performance of mechanical system, which can not be ignored. Therefore, a dynamic simulation method of flap mechanism considering assembly error is established. Firstly, the motion digital prototype of flap mechanism and the rigid flexible coupling dynamic model considering the deformation of flap wing surface are established, and then when the error direction is fixed, by setting the deviation values of the two driving shafts, the influence on the driving torque of the flap mechanism and the load of key components under the working conditions of 2mm, 4mm and 6mm is explored. Then, through the eight error directions defined by the deviation function, the influence of the direction error of the drive shaft assembly on the driving torque of the flap mechanism is obtained when the error size is 6mm fixed. The results show that when the assembly deviation of the two driving shafts is in the three working conditions with the selected size, the flap trajectory basically coincides, and the driving torque of the inner mechanism increases by 10.19% when the error is 6 mm; When the size of the assembly error remains fixed, the change of the error direction will increase the driving torque of the flap mechanism. The dynamic simulation study can provide some theoretical guidance for the manufacturing and assembly of this type of high-lift device.

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A Study of Multi-Objective Aerodynamic Optimization Design for Variable Camber Airfoils and High Lift Devices

Cited by 5 publications

References 6 publications

[Retracted] Macroeconomic Image Analysis and GDP Prediction Based on the Genetic Algorithm Radial Basis Function Neural Network (RBFNN‐GA)

[Retracted] Macroeconomic Image Analysis and GDP Prediction Based on the Genetic Algorithm Radial Basis Function Neural Network (RBFNN‐GA)

Intelligent Planning Modeling and Optimization of UAV Cluster Based on Multi-Objective Optimization Algorithm

Dynamic simulation of flap mechanism considering assembly error

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