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Zengqiang Ma,Xiaoyun Liu,Zheng Liu,Sha Zhong,Yusi Zhang 보안공학연구지원센터 2016 International Journal of Multimedia and Ubiquitous Vol.11 No.11
The Hough Transform algorithm based on RPSO (Reduced Particle Swarm Optimization) is widely used in image detection. But it has several defects, such as being apt to plunge a local extremum and low target detection precision. In order to overcome these defects of the original algorithm, an improved algorithm, which is updated with the mechanism of SA (simulated annealing), is presented in this paper. In the improved algorithm, the output parameters of the Hough Transform was regarded as particle positions, and the opposite value of accumulation array in Hough Transform was employed as a fitness function of RPSO algorithm. Because the mechanism of the SA was involved, the velocities and positions of the particles are updated in real-time in the process of the crossover and Gaussian mutation. Consequently, the ability of converging to global optimum solution is obviously improved. Then, the comparison and analysis of the experiment results between the original algorithm and the improved one have been carried out in the application of the train wheel image detection. The experiment results demonstrate that the accuracy of image detection is evidently increased and the evolution speed is significantly boosted in the proposed algorithm, especially as the image has complex background or high level noise.
Grouting Effect Evaluation of Dam Foundation Rock Mass Based on Borehole Imaging Observation
( Zengqiang Han ) 대한지질공학회 2019 대한지질공학회 학술발표회논문집 Vol.2019 No.2
Grouting is the most commonly used technical means in the foundation treatment of hydraulic structures. Cracks are the most basic structural planes of permeable grouting and the filling degree of grouting to cracks is the most intuitive expression of grouting effect. However, it is difficult to obtain the filling characteristics of cracks directly. In this paper, borehole imaging technology is used to detect grouting boreholes, and 360 degree wall images of boreholes are obtained. Cracks filling characteristics after grouting can be identified based on borehole wall images. Considering the influence of different filling characteristics on grouting effect, an evaluation index of grouting effect, borehole fracture filling integrity (BFFI) is established. The correlation between BFFI and permeability of conventional pressure water test is discussed, and the function relationship between the two evaluation indexes is fitted by cubic polynomial. The evaluation criteria of grouting effect based on cracks filling index in boreholes is established, and the method is applied to the supplementary test of curtain grouting in the dam area of Tongzilin Hydropower Station on Yalong River. The application results show that: (1) the grouting effect evaluation results of pressure water test method and BFFI method are in good agreement, which further illustrates the feasibility of BFFI method in evaluating grouting effect. (2) the grouting effect evaluation is carried out by using borehole camera technology, which not only visually shows the filling characteristics of grouting in fissures, but also reflects the grouting effect, providing a new idea for grouting effect evaluation.
Zengqiang Ma,Feiyu Lu,Suyan Liu,Xin Li 대한기계학회 2021 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.35 No.5
Fault diagnosis for rolling bearing under variable speed is always a challenging topic since the vibration signal has time-varying characteristics. To overcome this difficulty, a novel method is exploited based on particle swarm optimization (PSO) and adaptive chirp mode decomposition (ACMD), named parameter-adaptive ACMD. Firstly, fast spectral kurtosis algorithm is used to get the resonance band signal. Then, the parameter-adaptive ACMD method decomposes the envelope signal to obtain the time-frequency spectrum. Next, the proposed method of fault diagnosis uses peak search algorithm to estimate instantaneous rotational frequency from the time-frequency graph processed. Finally, the measured rotational frequency is used as the phase function in the resampling process to get the order spectrum and fault characteristic order (FCO). Simulation and actual signals were analyzed and the results indicate that the proposed method can identify fault type with variable speed and has high application value.
An Improved Interacting Multiple Model Algorithm for Target Tracking Based on ANFIS
Zengqiang Ma,Yacong Zheng,Sha Zhong,Xingxing Zou,Yachao Li 보안공학연구지원센터 2014 International Journal of Signal Processing, Image Vol.7 No.5
IMM (Interacting Multiple Model) algorithm is widely used in target tracking, and its basic principle is described in detail at first. However, the IMM algorithm fails to obtain the prior probability of model conversion quickly and accurately when tracking for target. In this paper, an improved IMM algorithm based on ANFIS (the adaptive neural fuzzy inference system) is proposed. The improved algorithm can update the value of system noise covariance in real-time by ANFIS module through observing the coefficient of system noise covariance. Consequently, the probability of model conversion can be obtained more quickly and accurately. Then, the comparison and analysis of the experiment results between the original IMM algorithm and the improved one have been carried out. The experiment results show that the reaction rate for maneuvering target tracking is significantly boosted and tracking error is obviously reduced because the improved algorithm can update the value of system noise covariance in real-time and improve the system adaptability.
Zhengguang Ma,Zengqiang Chen,Zhong-Xin Liu 제어·로봇·시스템학회 2017 International Journal of Control, Automation, and Vol.15 No.6
In this paper, the consensus problems of multiple agents with continuous-time single-integrator dynamicsare studied, where each agent can obtain the position data of its neighboring agents at discrete-time points by usingthe periodic sampling technology and zero-order hold circuit. The smart leader is introduced, which can adjust theinteraction strength between itself and the target point according to the state errors between itself and its neighboringfollowers. The modified leader-following consensus problem is defined as the leader-following consensus problemwhen the smart leader is adopted. Different leader-following consensus protocols are obtained for the multi-agentsystems with or without sampling delays. The theoretical results, which are analysed with Lyapunov stability theory,can decrease the tracking error of the system, especially for the multi-agent systems with disturbance generated byactuator faults. Some simulation examples and real experiments are presented for illustration.
Bo Li,Zengqiang Chen,Chun-yan Zhang,Zhong-Xin Liu,Qing Zhang 제어·로봇·시스템학회 2017 International Journal of Control, Automation, and Vol.15 No.3
In this paper, containment control problem in directed networks for second-order multi-agent systemswith inherent nonlinear dynamics and time-delays are investigated. A distributed control protocol is proposedfor each follower using the relative states among neighboring agents. Based on Lyapunov-Razumikhin theorem,some sufficient conditions in terms of linear matrix inequalities (LMIs) are derived to ensure that all followersasymptotically converge to the convex hull spanned by the dynamic leaders. Finally, simulation results are presentedto illustrate the effectiveness of the conclusion.
Grey Wolf Optimization based Active Disturbance Rejection Control Parameter Tuning for Ship Course
Jia Ren,Zengqiang Chen,Yikang Yang,Mingwei Sun,Qinglin Sun,Zenghui Wang 제어·로봇·시스템학회 2022 International Journal of Control, Automation, and Vol.20 No.3
It is important to control the ship course in complicated ocean environment. In this paper, a Grey Wolf Optimization (GWO) based Active Disturbance Rejection Control (ADRC) tuning method is proposed in the application of the ship course. Here, GWO is used to tune the parameters of ADRC. To validate the performance of the proposed method, some simulations have been carried out and the results are compared with the results of other tuning methods, such as, Harris Hawks Optimization (HHO), Particle Swarm Optimization (PSO), Q-learning and manual tuning. To test the stability of different tuning methods, the cases of no disturbance, constant value disturbance, second-order wave force disturbance, white noise disturbance and mixed disturbance are considered. The robustness of the system for parameters perturbation is analyzed. The research indicates that the GWO based ADRC can achieve better performance than other methods.
Huixuan Zhuang,Qinglin Sun,Zengqiang Chen,Xianyi Zeng 제어·로봇·시스템학회 2021 International Journal of Control, Automation, and Vol.19 No.11
In this paper, a novel attitude control method for nonlinear missile system is proposed, which combines backstepping technique with linear active disturbance rejection control (LADRC). Firstly, the nonlinear missilemodel is introduced and transformed into the standard state equation. The linear extended state observer (LESO) is used to estimate the unknown variables. Compared with PID control method, the homologous LADRC designensures that the state variables of the closed-loop system converge to the reference state. The stability of LESO and LADRC is theoretically analyzed and proved. A large number of comparative simulations show the effectiveness ofthe method. The simulation results show that LADRC has better control performance than SMC and PID method.
Internal Surface Adsorption of Methane in the Microporous and the Mesoporous Montmorillonite Models
Changjin Shao,Dakai Nie,Zengqiang Zhai,Zhenqing Yang 한국물리학회 2018 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.72 No.9
Due to the rising worldwide energy demands and the shortage of natural gas resources, the development of shale gas has become the new research focus in the field of novel energy resources. To understand the adsorption mechanism of shale gas in the reservoir, we use grand canonical Monte Carlo (GCMC) method to investigate the internal surface adsorption behavior of methane (main component of shale gas) in microporous and mesoporous montmorillonite materials for changing pressure, temperature and surface spacing. The results show that the adsorption capacity of methane decreases with increasing temperature while increasing as the surface spacing increases. Especially, the adsorption isotherm of the microporous model has a mutation when the surface spacing is about 10 ˚A. According to the trend for the change in the adsorption capacity, the best scheme for the exploitation of shale gas can be selected so that the mining efficiency is greatly improved.