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SSRN 2024年

作者： Li, Yaqian Han, Jiaqi Li, Haibin Zhang, Wenming College of Electrical Engineering Yanshan University Hebei Qinhuangdao066000 China Key Laboratory of Industrial Computer Control Engineering of Hebei Province Hebei Qinhuangdao066000 China

The pantograph is the key structure in the railway Pantograph-OCS system, acting as the switch for the railway traction power supply system. So it’s crucial to detect the pantograph's lifting and lowing states for production efficiently and safely. However, due to the pantograph’s special slender structure and complex application scenarios, it occupies few pixels and is susceptible to background interference, making accurate real-time detection a challenging task. In this work, we aim to propose a generalized model, designed for detecting, branch-like objects with thin structure and multi-scale size such as pantographs. To this end, we propose the Branch-YOLO based on YOLOv8, which is improved in two stages, feature extraction and feature fusion, to simultaneously enhance perception. First, we introduce BrLayer is consist of BranchConv and EFAC(Extend receptive field attention Convolution), BranchConv can adaptively capture features of thin and tortuous local structures,EFAC is able to assist in expanding the effective receptive field. Subsequently, we propose a feature fusion network (BranchNet) to integrate multilevel semantic information and multi-scale features, which significantly reduces background interference in detecting slender structure objects and enhances the ability to perceive changes in object scale. Besides, we propose the Lightweight Cross-Kernel Convolution layer (LckLayer) and introduce the Feature Decomposition module (FdM) in BranchNet for lightweight design, reducing the computational overhead and enhancing model efficiency. Our proposed Branch-YOLO not only achieves the best performance on the multi-scale pantograph datasets but also attains an outstanding 42.9% AP on the COCO val2017 datasets, with 5.9M parameters and 16.8 GFLOPs. © 2024, The Authors. All rights reserved.

关键词： Religious buildings

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Multivariable decoupling fuzzy-smith predictive control of cement rotary kiln temperature system

Multivariable decoupling fuzzy-smith predictive control of c...

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作者： Li, Dong-Sheng Fang, Yi-Ming Li, Jian-Xiong Deng, Li-Guang Key Laboratory of Industrial Computer Control Engineering of Hebei Province Yanshan University Qinhuangdao Hebei 066004 China

ISBN: (纸本)9787894631046

Cement rotary kiln thermal process can be viewed as an uncertain and complex temperature system with multivariable, strong coupling and time delays. The performance of combustion process control system will directly affect the quality of cement clinker, so it is necessary to control the temperature of every part in the kiln strictly in order to ensure the quality of cement clinker. A multivariable decoupling Fuzzy-Smith predictive control algorithm is presented to the mathematical model of controlled plant of the cement rotary kiln temperature multivariable coupling system with time delays. According to the controlled plant model of system, a decoupling controller is firstly designed to the multivariable coupling system with time delays in this algorithm, then a Smith prediction control structure is formed according to the decoupled nominal model, and two-channel Fuzzy-PI controllers are developed. At last the simulation results show that this algorithm has a good control performance to achieve obvious decoupling between outputs and has a strong robustness.

关键词： Fuzzy control

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Energy Efficiency Maximization for Hybrid Access Femtocell Networks via Incentive Mechanism and Power control Strategy

Energy Efficiency Maximization for Hybrid Access Femtocell N...

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IEEE International Conference on Cyber Technology in Automation, control, and Intelligent Systems

作者： Xuelin Liu Weimin Wang Zhixin Liu School of control science and engineering Dalian University of Technology Dalian China School of electrical engineering Yanshan University Qinhuangdao China Key Lab of Industrial Computer Control Engineering of Hebei Province Qinhuangdao Hebei Province China

Femtocell network has a great development space in increasing coverage and capacity of wireless network. In order to meet the quality of service (QoS) requirements of MUEs in MBS coverage, we propose a seed channel incentive mechanism in the two-tier femtocell network, where the MBS provides sub-channels to FBSs to motivate them to serve for the MUEs within the MBS coverage. To maximize the energy efficiency of femtocell layer after hybrid access, the optimization problem is modeled. The combined method of worst-case, Dinkelbach and continuous convex approximation is developed to make the optimization problem solvable. In addition, in order to realize the practical application of the proposed scheme, an optimization algorithm combining sub-channel and power allocation is developed. The numerical results show that the proposed algorithm is effective in improving the energy efficiency of the femtocell layer.

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On spectrum allocation algorithm for heterogeneous channels in cognitive radio networks

On spectrum allocation algorithm for heterogeneous channels ...

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Chinese control Conference (CCC)

作者： Bin Zhao Kai Ma Xinping Guan Institute of Electrical Engineering Key Laboratory of Industrial Computer Control Engineering of Hebei province Yanshan University Qinhuangdao 066004 China

Spectrum allocation is one of the most important problems in cognitive radio networks. However, the channel differentiated algorithms have not been emphasized in the current literature. This paper first proposes a classification criterion for heterogeneous channels. Then, an allocation algorithm for the channel classification is provided with the consideration of channel differences and spatial reuse of primary user's channels. Simulation result shows that the proposed algorithm improves the spectrum utilization and other network performance.

关键词： Cognitive radio Ad hoc networks Resource management Electronic mail Conferences Wireless sensor networks

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Cooperative spectrum sensing for cognitive radios based on a PA-GABC algorithm

Cooperative spectrum sensing for cognitive radios based on a...

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International Conference on Electronics, Communications and control (ICECC)

作者： Xinbin Li Lei Liu Key Laboratory of Industrial Computer Control Engineering of Hebei Province Institute of Electrical Engineering Yan Shan University Qinhuangdao China

Spectrum sensing plays a critical role in cognitive radio networks. A good sensing scheme can reduce the false alarm probability and increase the detection probability, and thus improves utilization. In this paper, in order to avoid the defect that cooperative spectrum sensing based on Particle Swarm Optimization (PSO) algorithm is easy to trap into a local optimization. We propose a population adaptive Gbest-guided artificial bee colony (PA-GABC) algorithm and it is applied to cooperative spectrum sensing for cognitive radios field. Simulations are performed to compare the performance of the PA-GABC algorithm and traditional artificial bee colony (ABC) algorithm. The performance of the proposed cooperative spectrum sensing method based on the PA-GABC and that of the cooperative spectrum sensing method using particle swarm optimization (PSO) algorithm are also compared. Results show that the proposed PA-GABC-based cooperative spectrum sensing method is efficient and stable, and it gets higher detection probability than the ABC-based method and the PSO-based method under the same probability of false alarm.

关键词： Sensors Cognitive radio Algorithm design and analysis Optimization Signal processing algorithms Particle swarm optimization Electrical engineering

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Study on modeling and stability analysis of nonlinear transmission system of wind turbine generator system

Study on modeling and stability analysis of nonlinear transm...

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第23届过程控制会议

作者： Meng Zong Fu Liyuan Song Minghou Key Laboratory of Measurement Technology and Instrumentation of Hebei Province Yanshan University Key Laboratory of Industrial Computer Control Engineering of Hebei Province Yanshan University Qin

The nonlinear dynamical model of wind turbine generator drive system is presented considering nonlinear stiffness of the drive system. The frequency characteristics of wind turbine drive system incented by different forms, such as phase plane and Poincaré section are studied by simulation. The stability of wind turbine generator drive system is analyzed by using bifurcation and chaos theories. The stability of the periodic motion and the process of period-doubling bifurcation into chaos are further studied, and the effect of nonlinear stiffness on stability of wind turbine generator drive system is showed. The results show that negative nonlinear stiffness is beneficial to keep the stability of system, and when the chaos appears on the system, incentive parameter increases as the negative nonlinear stiffness increases.

关键词： Wind turbine generator system Drive system Dynamical model Nonlinear stiffness Bifurcation and chaos

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Sensor Fault Detection in nonlinear system using Adaptive Weighted Fusion Algorithm

Sensor Fault Detection in nonlinear system using Adaptive We...

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第40届中国控制会议

作者： Fan Qin Shu-ya Yan Yi-ming Fang Jian-xiong Li Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University Research Center of the Ministry of Education for Intelligent Control System and Intelligent Equipment Yanshan University

In view of the problem that the state estimation contains fault values when detecting sensor faults containing noise based on the Kalman filter algorithm,a sensor fault detection method based on adaptive weighted fusion is proposed in this *** adaptive weighted fusion algorithm gives different weights to several groups of measurement output data to generate the measurement output without ***,the composite embedded cubature Kalman filter algorithm is used to get the state estimation without faults,which will make the mean or variance of the generated residuals change,so as to realize fault ***,the single-link direct drive manipulator system driven by permanent magnet brush DC motor is simulated and *** results show that,compared with the CECKF algorithm alone,the proposed method can eliminate the faults contained in the Kalman filter state estimation,and detect all the output sensor faults more effectively.

关键词： Sensor fault detection Adaptive weighted fusion State estimation Kalman filter

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An improved particle swarm optimization particle filter algorithm based on harmony search

An improved particle swarm optimization particle filter algo...

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第三十九届中国控制会议

作者： Zhen-dong Liu Yi-ming Fang Le Liu Xiao-dong Zhao Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University Research Center of the Ministry of Education for Intelligent Control System and Intelligent Equipment Yanshan University

In light of the problems that particle filter based on particle swarm optimization（PSO-PF） algorithm is easy to fall into the local optimum in the state estimation of complex nonlinear systems, an improved particle swarm optimization particle filter algorithm based on harmony search（HSPSO-PF） is proposed. The optimal value of each individual in the particle swarm algorithm is equivalent to a variable in the harmony memory（HM） in the harmony search algorithm. On the one hand, the idea of generating solutions in harmony search algorithm is used to update the matrix that is composed of particles’ optimal solutions in the iteration of PSO. And the harmony memory consideration rate is adjusted to ensure that the source of solution generation is not limited to the HM, so that the PSO can search for the global optimal solution. On the other hand, the pitch adjustment rate and the fine-tuning bandwidth are adjusted to improve the local search ability of the PSO. Simulation results under Gaussian and non-Gaussian show that HSPSO-PF can effectively improve the estimation accuracy of the particle filtering algorithm, and has extensive adaptability.

关键词： Particle filter Harmony search Particle swarm optimization

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Super-twisting Finite Time control for Third Order Nonlinear Systems

Super-twisting Finite Time Control for Third Order Nonlinear...

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Chinese control Conference (CCC)

作者： Xinjian Liu Jianxiong Li Zhi Li Yiming Fang Research Center of the Ministry of Education for Intelligent Control System and Intelligent Equipment Qinhuangdao China The Key Lab of Industrial Computer Control Engineering of Hebei Province Qinhuangdao China

A novel super-twisting control method is proposed for a class of third-order systems with matched Lipschitz disturbance in this paper. The proposed method ensures finite-time convergence to the fourth-order sliding set, by using a homogeneous, continuously differentiable and strict Lyapunov function. Finally, numerical simulation results are shown to illustrate the effectiveness of the proposed method.

关键词： Uncertain systems Numerical simulation Nonlinear systems Sliding mode control Convergence Lyapunov methods

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Discrete-time sliding mode control for a class of stochastic system

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ICIC Express Letters 2013年第7期7卷 2087-2092页

作者： Chang, Ru Fang, Yiming Liu, Le Li, Jianxiong Key Lab of Industrial Computer Control Engineering of Hebei Province Institute of Electrical Engineering Yanshan University No. 438 Hebei Street Qinhuangdao 066004 China National Engineering Research Center for Equipment and Technology of Cold Strip Rolling Hebei Street Qinhuangdao 066004 China

This paper is concerned with the discrete-time sliding mode control (SMC) problem for a class of stochastic system. A sufficient condition is presented to ensure the mean-square asymptotic stability of the stochastic system in the sliding mode by solving a linear objective function. Moreover, a power function is introduced to design a novel discrete sliding mode controller. The controller can guarantee the good dynamic quality of the stochastic system, and can ensure the reachability of the discrete-time sliding motion. Finally, a numerical example is given to illustrate the validity of the proposed SMC scheme. © 2013 ICIC International.

关键词： Stochastic systems

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