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42nd Chinese control Conference, CCC 2023

作者： Luo, Jiong Heng, Yong Li, Qi Hua, Yongzhao Dong, Xiwang Ren, Zhang School of Automation Science and Electrical Engineering Science and Technology on Aircraft Control Laboratory Beihang University Beijing100191 China Beijing Institute of Electronic System Engineering Beijing100854 China Institute of Artificial Intelligence Beihang University Beijing100191 China

ISBN: (纸本)9789887581543

With the gradual diversification of modern application scenes, the demand for UAV path planning is becoming more and more abundant. This paper first introduces a possible battle scenario, and the problems that must be considered in path planning in this scene are analyzed: the maximum rotation angle constraint and the demand that the UAV can cross the threat zone flexibly. Maximum rotation angle and Adaptive crossing threat zone RRT∗(MA-RRT∗) algorithm is proposed to solve the above problems. The algorithm improves the reconnection process of neighbor set in RRT∗, and adds the maximum rotation angle constraint to the RRT∗ framework, so that the generated path strictly meets this constraint. In addition, the above process also reduces the time consumption of RRT∗, and the speed advantage of MA-RRT∗ becomes more and more obvious with the increase of iteration times. Then, the obstacle information is regarded as one of the components of the node cost of the path, and the original obstacle is regarded as a soft constraint. This enables the path to adaptively cross the threat zone, which is more in line with the actual situation. We compare our algorithm with RRT∗ in numerical simulation, which verifies the effectiveness and time consumption advantages of the algorithm. © 2023 Technical Committee on control Theory, Chinese Association of automation.

关键词： Motion planning

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Monocular 3D Object Detection Using Depth Fusion 3

Monocular 3D Object Detection Using Depth Fusion

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2023 3rd International Conference on Artificial Intelligence and Industrial Technology Applications, AIITA 2023

作者： Qiao, Dewen Niu, Hongxia Key Laboratory of Optoelectronic Technology and Intelligent Control of Ministry of Education Lanzhou Jiaotong University Lanzhou730070 China Key Laboratory of Plateau Traffic Information Engineering and Control of Gansu Province Lanzhou Jiaotong University Lanzhou730070 China School of Automation and Electrical Engineering Lanzhou Jiaotong University China

It is an important task to estimate a 3D bounding box from monocular images for autonomous driving. However, the monocular pictures do not have distance information, so it is difficult to acquire accurate results. For the sake of solving the trouble of low accuracy of the monocular image in 3D target detection because of lacking distance information, an improved monocular three-dimensional target detection algorithm based on GUPNet and neural network was proposed to promote the precision of target detection. First, based on the geometric method proposed by GUPNet, the depth, and uncertainty are obtained by direct regression using a neural network. According to the difference in the accuracy of the two methods, a parameter α was introduced, and their depth scores are obtained from the uncertainty. According to the depth score and parameter α, the depth obtained by the two methods is fused to get the final depth. Test results prove that the proposed algorithm promotes average detection precision of KITTI data set in simple, medium, and difficult cases. © Published under licence by IOP Publishing Ltd.

关键词： Object detection

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Cooperative game theory based coordinated scheduling of production and transportation of parallel machines with deterioration effects

Cooperative game theory based coordinated scheduling of prod...

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2024 International Conference on Materials engineering and Intelligent Manufacturing, CMEIM 2024

作者： Gong, Hua Zhang, Yunna Sun, Wenjuan School of Science Shenyang Ligong University Shenyang110159 China Liaoning Key Laboratory of Intelligent Optimization and Control for Ordnance Industry Shenyang110159 China School of Automation and Electrical Engineering Shenyang Ligong University Shenyang110159 China

Cooperative game theory is used to study the production and transportation scheduling problem of parallel machines with deterioration effects. Jobs with an initial scheduling order are processed on parallel machines and then transported to customers. Penalties are incurred for early or late completion if the jobs are not completed on the due dates. Considering that jobs can rearrange the scheduling order in the coalition through cooperation to bring about cost savings, the cooperative game model is constructed by considering the jobs as players and taking the maximum cost savings of the coalition as the characteristic function. It is proven that when jobs have the same normal processing time and deterioration rate, the cooperative game has a nonempty core, and a core allocation can be obtained from the β-rule allocation method. A Dual Replay Buffer Double DQN (DRB-DDQN) algorithm is designed to get the optimal schedule of the coalition. Experiments demonstrate the effectiveness of the DRB-DDQN and β-rule allocation method in solving the game scheduling problem. © 2024 Institute of Physics Publishing. All rights reserved.

关键词： Job shop scheduling

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Impact Angle control Guidance for a Moving Target with General Field-of-View Constraints 42

Impact Angle Control Guidance for a Moving Target with Gener...

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42nd Chinese control Conference, CCC 2023

作者： Tang, Xiangyu Yu, Jianglong Peng, Siting Dong, Xiwang Li, Qingdong Ren, Zhang School of Automation Science and Electrical Engineering Science and Technology on Aircraft Control Laboratory Beihang University Beijing100191 China Institute of Artificial Intelligence Beihang University Beijing100191 China Beijing Electro-Mechanical Engineering Institute Beijing100074 China

ISBN: (纸本)9789887581543

This paper studies the impact angle control guidance problem with general field-of-view (FOV) constraints for a moving target. Firstly, the control Lyapunov function (CLF) is constructed based on the state-dependent Riccati equation (SDRE) technique, and a nominal controller is designed to intercept the moving target at the desired impact angle without FOV constraints. The control barrier functions (CBFs) are designed according to the FOV constraints. Secondly, the CLF that guarantees stability is combined with the CBFs that guarantee forward invariance of the constraint sets. The minimum modification framework is used to numerically solve the guidance command through quadratic programming to ensure that the look angle of the missile always remains within the constraint interval during the interception process. Finally, the effectiveness of the proposed guidance law is verified by numerical examples. © 2023 Technical Committee on control Theory, Chinese Association of automation.

关键词： Electronic guidance systems

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Hierarchical and Distributed Optimal control Strategy for Power and Power Quality of Microgrid Based on Finite-Time Consistency

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Energy engineering 2022年第5期119卷 2065-2080页

作者： Wenjun Wei Hao Liang College of Automation&Electrical Engineering Lanzhou Jiaotong UniversityLanzhou730070China Key Lab of Opt-Electronic Technology and Intelligent Control of Ministry of Education Lanzhou Jiaotong UniversityLanzhou730070China

Droop control is one of the main control strategies of islanded microgrid(MG),but the droop control cannot achieve reasonable power distribution of microgrid,resulting in frequency and voltage deviation from the rating value,which needs the upper control link to eliminate the ***,at present,most layered control requires a centralized control center,which excessively relies on microgrid central controller(MGCC)and real-time communication among distributed generation(DG),which has certain *** solve the above problems,this paper proposes a hierarchical distributed power and power quality optimization strategy based on multi-agent finite time consistency algorithm(MA-FTCA).Firstly,based on the first layer droop control,MA-FTCA is applied to introduce frequency and voltage compensation to stabilize the system frequency and voltage at the rated ***,in the third layer,the MA-FTCA is adopted to estimate the total active power and total reactive power spare capacity of the system,to realize the reasonable distribution of active power and reactive power output of each DG according to its proportion of spare capacity when the system load side *** control strategy proposed in this paper adopts a completely distributed control method and does not need a centralized control center in each layer of ***,MATLAB/Simulink simulation platform is used to verify the correctness and effectiveness of the proposed optimization strategy.

关键词： Microgrid finite time consistency power distribution hierarchical control

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Improved Auction Algorithm for Weapon Target Assignment with Firepower-Health Model 42

Improved Auction Algorithm for Weapon Target Assignment with...

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42nd Chinese control Conference, CCC 2023

作者： Wang, Shuobo Heng, Yong Hua, Yongzhao Dong, Xiwang Ren, Zhang Institute of Artificial Intelligence Beihang University Beijing100191 China Beijing Institute of Electronic System Engineering Beijing100854 China School of Automation Science and Electrical Engineering Science and Technology on Aircraft Control Laboratory Beihang University Beijing100191 China

ISBN: (纸本)9789887581543

This paper proposes an improved auction algorithm to optimize the efficiency of dynamic weapon target assignment (WTA) problem. Firstly, the dynamic battlefield environment of firepower-health model is analyzed and the constraints of weapon assignment problem are established. The firepower-health model is about the idea of adding constraints of weapon firepower and target health to promote the result of assignment more effectively. Secondly, in order to improve the computing speed of WTA algorithm, the penalty mechanism is introduced in the compensation auction algorithm. The main idea of improved algorithm is to reduce the extra consuming of the weapon during the assignment, from which penalty mechanism can optimize the assignment results and reduce the number of algorithm iterations by punishing the overkilled target under certain rules. Finally, the simulation results based on the dynamic firepower-health model show that the proposed algorithm can meet the requirements of firepower allocation, and can promote the effectiveness of assignment with high real-time response. © 2023 Technical Committee on control Theory, Chinese Association of automation.

关键词： Dynamics

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Health Monitoring for Variable Pitch Systems of Wind Turbine Using Multi-layer Perceptron Strategy

Health Monitoring for Variable Pitch Systems of Wind Turbine...

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International Conference on Guidance, Navigation and control, ICGNC 2022

作者： Feng, Tao Liu, Yishi Li, Qingdong Ren, Zhang Duchengweiye Group Co. Ltd. Beijing100010 China School of Automation Science and Electrical Engineering Science and Technology on Aircraft Control Laboratory Beihang University Beijing100191 China

ISBN: (纸本)9789811966125

This paper combines the artificial intelligence algorithm with the modeling and simulation for variable pitch systems of wind turbine, and proposes a fault prediction using the artificial neural network technique of multi-layer perceptron. The operating principle of the variable pitch system is analyzed by building the dynamic model, and the fault detection data of the system is obtained. Then, the artificial neural network of multi-layer perceptron is trained with limited data set. The estimated value of pitch angle can be accurately predicted. The residual error can be obtained by comparing the pitch angle predicted by the artificial neural network and the actual pitch angle output of the system model. The system fault detection results can be obtained according to the fault decision-making index. The proposed method can detect and isolate the fault of complex pitch system accurately with uncertain factors, such as disturbance, and predict the change of fault amplitude effectively. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Wind turbines

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Improvement of the electrical Properties of Silicone Rubber Doped with Nano-zirconia Grafted by Voltage Stabilizer 4

Improvement of the Electrical Properties of Silicone Rubber ...

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4th IEEE International Conference on electrical Materials and Power Equipment, ICEMPE 2023

作者： Zhu, Xiaoqian Zhou, Yuanxiang Zhang, Yunxiao Chen, Ming Liu, Xuanhao Tsinghua University State Key Lab of Control and Simulation of Power System and Generation Equipment Department of Electrical Engineering Beijing China Fuzhou University College of Electrical Engineering and Automation Fuzhou China Xiamen Power Supply Company State Grid Fujian Electric Power Company Xiamen China Xinjiang University The Wind Solar Storage Division State Key Laboratory of Control and Simulation of Power System and Generation Equipment School of Electrical Engineering Urumqi China

ISBN: (纸本)9798350334678

Enhancing the electrical performance of silicone rubber (SiR) for cable accessories is noteworthy as they are almost the weakest parts of the cable system. Two types of voltage stabilizers were grafted onto the surface of nano-zirconia (ZrO2) particles, and the grafted nanoparticles were added to the SiR. Measurements such as breakdown strength, and conductivity were carried out to evaluate the electrical performance of SiR nanocomposites. The electrical performance measurement results indicated that the breakdown strength of the nanocomposite SiR improved while the conductance current was reduced. The trap distribution showed that the improvement of the electrical performance of the nanocomposite SiR is mainly due to the decrease of the shallow trap density or the increase of the deep trap density. © 2023 IEEE.

关键词： Nanoparticles

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Skeleton-based Action Recognition Using Two-stream Graph Convolutional Network with Pose Refinement 41

Skeleton-based Action Recognition Using Two-stream Graph Con...

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第41届中国控制会议

作者： Biao Zheng Luefeng Chen Min Wu Witold Pedrycz Kaoru Hirota School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Department of Electrical and Computer Engineering University of Alberta Tokyo Institute of Technology

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

With the development of science and technology,graph convolutional network has made great progress in improving the accuracy of action ***,there still exists some deficiencies in current ***,the human skeleton point coordinates entering into the network are barely refined,which may cause large ***,the second-order information(the length and direction of bones),which can reflect action characteristics discriminatively,is rarely *** solve the above issues,a two stream graph convolutional network with pose refinement for skeleton based action recognition is ***,we use an adaptive block to to help improve the *** test our method on Kinetics dataset and the experiment show it can get better results than some recent methods,which plays a positive role in future research.

关键词： Graph convolutional network Pose refinement Skeleton based action recognition Adaptive block

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Q-learning-based space target selection for CNS/INS integrated navigation

Q-learning-based space target selection for CNS/INS integrat...

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Chinese control and Decision Conference, CCDC

作者： Dong Wang Jing Yang Kai Xiong School of Automation Science and Electrical Engineering Beihang University Beijing China Science and Technology on Space Intelligent Control Laboratory Beijing Institute of Control Engineering Beijing China

ISBN: (数字)9798350387780

ISBN: (纸本)9798350387797

To solve the problem that intermittent celestial observation will hamper the navigation accuracy of celestial and inertial integrated navigation system (CNS/INS), a Q-learning-based space target selection method is proposed. The visibility situation of space targets is analyzed under given flight mission, which lays the foundation for subsequent pointing optimization. Q-learning algorithm is employed to optimize the sequence of visible space target. The reward function is designed based on the trace of Fisher information matrix and the rotation angle of optical axis which could make a synthetic balance between navigation accuracy and rotation cost. By setting the optimized pointing sequence to CNS/INS integrated navigation system, unintermittent celestial observation can be achieved to guarantee filtering performance with relatively low rotation cost, which has a certain value of practical engineering application. Comparative simulation experiments demonstrate the effectiveness of the proposed method in terms of navigation accuracy and rotation cost.

关键词： Optical filters Accuracy Costs Q-learning Navigation Filtering Space missions

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