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Articles 3391 - 3420 of 3895
Full-Text Articles in Systems Science
Virtual Vascular Stent Implantation Model Based On Fbs, Chenxi Huang, Yongtao Hao, Haowei Xing, Chen Fei
Virtual Vascular Stent Implantation Model Based On Fbs, Chenxi Huang, Yongtao Hao, Haowei Xing, Chen Fei
Journal of System Simulation
Abstract: Vascular stent intervention can expand the narrow coronary artery. Doctors analyze the patient's two-dimensional vascular images based on experience and select the stent. In this paper, vascular stent implantation is modeled and analyzed by Function-Behavior-Structure. The stent model is established by virtual reality modeling language and the stent implantation process is simulated. By combining FBS product design method with the virtual reality interaction technology, the virtual stent selection and implantation are adjusted until getting the best result. The prototype system can establish a personalized implantation model. The stent is selected accurately based on the specificity of patient's …
Operational Evaluation Of Traffic Guidance Systems Based On Multi-Agent-Based Simulation, Keshuang Tang, Hengjia Zhang, Yixie Bowen
Operational Evaluation Of Traffic Guidance Systems Based On Multi-Agent-Based Simulation, Keshuang Tang, Hengjia Zhang, Yixie Bowen
Journal of System Simulation
Abstract: To study the optimization effect of variable message sign-based traffic guidance system on the utilization efficiency of transportation resource, the multi-agent-based model is used to develop simulation and evaluation platform. The simulation experiments of three typical traffic guidance strategies are carried out. The effect of guidance is evaluated by the indexes as average driving time, average searching time for parking lot and parking failure rate. The result shows that the driving and parking guidance can help reduce the average driving time and the parking failure rate respectively. The influence of the traffic guidance system on the traffic operation status …
Analysis Of Fuzzy Control Constant Current Charging Characteristic For Breaking And Making Capacitor Of Permanent Magnet Circuit Breaker, Peng Jin, Xianbing Wang, Xiangao Wang, Xichen Ye, Wang Huan
Analysis Of Fuzzy Control Constant Current Charging Characteristic For Breaking And Making Capacitor Of Permanent Magnet Circuit Breaker, Peng Jin, Xianbing Wang, Xiangao Wang, Xichen Ye, Wang Huan
Journal of System Simulation
Abstract: In order to realize the precise control of breaking and making capacitors constant current charging for the permanent magnet (PM) circuit breaker, a fuzzy constant current charging technology of breaking and making capacitors is put forward. On the basis of analyzing the working characteristics for breaking and making capacitors constant current charging, the membership functions of current deviation e, deviation changing rate ec and output variable u for breaking and making capacitors constant current and fuzzy control rules are set up. The establishment of a two-dimensional lookup table replacing the complex fuzzy control algorithm can effectively improve the …
Study On The Effect Of Salt Fog On Polluted Insulator Under Switching Impulse, Jianghai Geng, Zhong Zheng, Jiang Shuo, Fangcheng Lü, Yunpeng Liu, Songsong Zhou
Study On The Effect Of Salt Fog On Polluted Insulator Under Switching Impulse, Jianghai Geng, Zhong Zheng, Jiang Shuo, Fangcheng Lü, Yunpeng Liu, Songsong Zhou
Journal of System Simulation
Abstract: Water is mixed with soluble conductive material in haze so that the air has certain conductivity, resulting in extra mixed pollution components on the surface of the existing polluted insulator. In this paper, with the XP10-160 ceramic suspension insulator being used as the sample, the switching impulse test of the clean and polluted insulator is carried out by simulating high conductivity fog under the natural environment by salt fog method. This paper analysis the flashover characteristics of switching impulse under different salt density and water fog conductivity. The effect of high conductivity fog on the field intensity distribution of …
Research On Modeling And Simulation Of Ac/Dc Hybrid Power Distribution System, Ye Peng, Li Shan, Sun Feng, Han Yue, Zhang Tao, Jiajue Li
Research On Modeling And Simulation Of Ac/Dc Hybrid Power Distribution System, Ye Peng, Li Shan, Sun Feng, Han Yue, Zhang Tao, Jiajue Li
Journal of System Simulation
Abstract: As DC loads and power supply are more and more applications in the grid, AC/DC power distribution system is the future development trend of the low voltage power grid. The modeling and simulation of AC/DC hybrid power distribution system are studied in this paper. Considering the power control, DC bus voltage control and DC power supply and load access, the hierarchical control model of voltage source converter for AC / DC hybrid distribution system and the control strategy of each layer are proposed, and on this basis, the mathematical model of each module is established. Based on PSCAD electromagnetic …
Design And Realization Of Behavior Tree In Weapon Equipment Virtual Maintenance Training System, Wensheng Xu, Wu Bo, Jianhong Jiang
Design And Realization Of Behavior Tree In Weapon Equipment Virtual Maintenance Training System, Wensheng Xu, Wu Bo, Jianhong Jiang
Journal of System Simulation
Abstract: To solve the problem of long development period of virtual maintenance training system for complicated weapon equipment, the 3D modeling, the behavior modeling and the decision modeling of virtual maintenance were studied. The behavior trees design model was applied to analyze, design and develop the system which was tested in the maintenance case of marching tensioning device of a certain weapon equipment. The scripting unit and the running efficiency of the behavior trees model in the case were tested. The test results showed that this design method with behavior tree model has better scalability and model description clarity, and …
Airframe Damage Region Division Evaluation Method Based On Boundary Grid Gradient, Shuyu Cai, Lizhong Shi
Airframe Damage Region Division Evaluation Method Based On Boundary Grid Gradient, Shuyu Cai, Lizhong Shi
Journal of System Simulation
Abstract: In order to provide decision support for efficiently choosing and evaluating airframe damage region division methods, the characteristic of airframe damage region was analyzed, evaluating indicator of damage image division-boundary grid gradient was established. By introducing entropy method, combining with indicator of boundary grid gradient, the optimization of TOPSIS was presented, and the evaluation system of airframe damage region division was completely established. Airframe damage region division evaluation experiments were performed by different gray level entropy threshold of damage division image. Experimental results showed that, the proposed method efficiently represented division status of damage adjacency region, and avoided the …
Deep Learning Method For Hyperspectral Remote Sensing Images With Small Samples, Xiangbin Shi, Zhong Jian, Cuiwei Liu, Liu Fang, Deyuan Zhang
Deep Learning Method For Hyperspectral Remote Sensing Images With Small Samples, Xiangbin Shi, Zhong Jian, Cuiwei Liu, Liu Fang, Deyuan Zhang
Journal of System Simulation
Abstract: In order to solve the problem of large information dimension and fewer labeled training samples of hyperspectral remote sensing images, this paper proposes a hyperspectral remote sensing image classification framework HSI-CNN, which reduces the number of model parameters while maintaining the depth of neural network. Image pattern invariance and spectral channel contribution rate are analyzed, and the spectral redundancy information is reduced by principal component analysis. A full convolution neural network structure suitable for small sample hyperspectral remote sensing images is designed and the amount of network parameters is effectively reduced. Three kinds of HSI-CNN structures are proposed …
Saliency Feature Extraction Method Based On Multi-Scale Region Covariance, Shimin Wang, Jihua Ye, Mingwen Wang, Jiali Zuo, Changhong Liu
Saliency Feature Extraction Method Based On Multi-Scale Region Covariance, Shimin Wang, Jihua Ye, Mingwen Wang, Jiali Zuo, Changhong Liu
Journal of System Simulation
Abstract: In order to solve the problem that the saliency detection target boundary is vague, the paper proposes a saliency feature extraction method based on multi-scale region covariance. This method firstly extracts the multi-scale features of an image, then combines region covariance to extract the image bottom features, calculates the image’s multi-scale uncertainty weights, and the weights are optimized for the final saliency features, which are obtained by fusion. In the paper, our proposed model compares the experimental results with the commonly used feature extraction algorithms. The experimental results show that the proposed algorithm is closer to the actual …
Vehicle Detection Method In Uav Aerial Video, Suqin Wang, Wenhao Shi, Zhaoxin Li, Tianlu Mao
Vehicle Detection Method In Uav Aerial Video, Suqin Wang, Wenhao Shi, Zhaoxin Li, Tianlu Mao
Journal of System Simulation
Abstract: The use of UAV aerial photography to obtain traffic information has many advantages like a flexible high mobility, comprehensive information and so on, which plays a vital role in the emergency response, anti-terrorism/battlefield and other environments. This paper proposes a method for vehicle detection in UAV aerial video. Aiming at the problem of UAV video image deflection, the image registration method based on SURF algorithm is used to correct the deflection of UAV hatching video according to the standard frame. The background and the moving vehicle are separated by the pixel-based adaptive segmentation algorithm to detect the moving …
Video Action Recognition Based On Key-Frame, Mingxiao Li, Qichuan Geng, Mo Hong, Wu Wei, Zhou Zhong
Video Action Recognition Based On Key-Frame, Mingxiao Li, Qichuan Geng, Mo Hong, Wu Wei, Zhou Zhong
Journal of System Simulation
Abstract: Video action recognition is an important part of intelligent video analysis. In recent years, deep learning methods, especially the two-stream convolutional neural network achieved the state-of-the-art performance. However, most methods simply use uniform sampling to get frames, which may cause the loss of information in sampling interval. We propose a segmentation method and a key-frame extraction method for video action recognition, and combine them with a multi-temporal-scale two-stream network. Our framework achieves a 94.2% accuracy at UCF101 split1, which is the same as the state-of-the-art method’s performance.
A Method Of Key Frame Extraction For Music And Dance Video, Ma Nan, Xiangbin Shi, Dai Qin, Cuiwei Liu, Liu Fang
A Method Of Key Frame Extraction For Music And Dance Video, Ma Nan, Xiangbin Shi, Dai Qin, Cuiwei Liu, Liu Fang
Journal of System Simulation
Abstract: Aiming at the complicated and redundant action of music and dance video, a method of extracting dance video key frame is proposed. The optical flow of two adjacent image frames in the dance video is calculated. The entropy of each optical flow graph is calculated and the characteristics of the music in the dance video are extracted. The music characteristics are merged with the entropy sequence of the optical flow graph and a sequence of entropy matching with music is obtained. The key frame of dance video is achieved by threshold comparison. The experimental results show that the algorithm …
Multidisciplinary Coupling Simulation System For Multi-Body Separation Process Of Near Space Vehicles, Tie Ming, Fang Hong, Yu Ying, Caihui Yu, Wang Ling, Dongfei Hu
Multidisciplinary Coupling Simulation System For Multi-Body Separation Process Of Near Space Vehicles, Tie Ming, Fang Hong, Yu Ying, Caihui Yu, Wang Ling, Dongfei Hu
Journal of System Simulation
Abstract: The simulation of coupling dynamics from multi-body movement, flow field and structural stress field plays a significant role in the separation system design for a near space vehicle. In this paper, an elastic-body based multidisciplinary and multi-physics coupling simulation approach is proposed for the vehicle separation process. A multidisciplinary separation simulation system is developed, where the dynamic finite element simulation method for stress field, the high performance numerical simulation method for flow field and the multi-body movement simulation are combined. The proposed simulation system provides an efficient and accurate way to verify the separation scheme and the …
Simulation Assessment Of Degradation System Reliability Under Imperfect Maintenance, Haidong Du, Junhai Cao, Shen Ying, Shangru Teng
Simulation Assessment Of Degradation System Reliability Under Imperfect Maintenance, Haidong Du, Junhai Cao, Shen Ying, Shangru Teng
Journal of System Simulation
Abstract: For the state change characteristic of degradation system under imperfect maintenance, the common analysis method becomes useless. A simulation method for repairable system is presented. A change rule of system reliability was analyzed and a reliability assessment model was built on the foundation of components degradation process. A simulation tactics based on variable structure modeling was given which is realized through Agent technique. A maintenance optimization example was given for the determination of maintenance opportunity which is used to support the formulation and improvement of maintenance support program for repairable system.
Simulation Evaluation Method Of Mission Sustainability For Operational Unit, Yan Xu, Junhai Cao, Tailiang Song, Gao Long, Zhang Qiang
Simulation Evaluation Method Of Mission Sustainability For Operational Unit, Yan Xu, Junhai Cao, Tailiang Song, Gao Long, Zhang Qiang
Journal of System Simulation
Abstract: To analyze and evaluate support capabilities of operational units and scientifically describe the operational mission sustainability of weapon systems, the typical mission models for individual operational unit and operational units were established according to system engineering ideology. The mission status of operational units was defined, and the parameters including mission sustainability and equipment availability of operational units were proposed. An operational unit mission process simulation model was established with the agent-based method, which provides a simulation method for operational unit mission sustainability evaluation and technical means for the operational unit support capability assessment problem. A case study of …
Progress And Challenge On Military System Analysis And Modeling, Mingzhi Zhang, Peng Jun
Progress And Challenge On Military System Analysis And Modeling, Mingzhi Zhang, Peng Jun
Journal of System Simulation
Abstract: Based on the data of openly published related research papers from 2001 to September 2016, the research progresses on military system analysis and modeling were summarized. The concerning theory and method, research contents, annual developing stage, researchers and institutes, and related journals were analyzed, which contributed to making a knowledge map of the area. A series of challenging issues in the research area was discussed to prompt further research on military system analysis and modeling.
Fractional-Order Memristor Model With Nonlinear Drift Function, Zhaohui Gan, Shiying Zhang, Yuxin Wu
Fractional-Order Memristor Model With Nonlinear Drift Function, Zhaohui Gan, Shiying Zhang, Yuxin Wu
Journal of System Simulation
Abstract: A memristor is a nonlinear resistor with memory. It is regarded as the fourth basic circuit elements. The fractional order model of memristor is an extension of integer order model for memristor. Some researchers have confirmed the existence of fractional order model for memristor, and the response characteristic of the fractional order model excited by different types of signals is analyzed. Based on the analysis of some existing integer order and fractional order models for memristor, a novel fractional order memristor model with nonlinear drift function is proposed, and the response characteristics of fractional order model for memristor with …
Message Passing Algorithm Through Particles On Factor Graph In Cooperative Positioning Network, Xinyue Fan, Wang Guan, Zhou Fei
Message Passing Algorithm Through Particles On Factor Graph In Cooperative Positioning Network, Xinyue Fan, Wang Guan, Zhou Fei
Journal of System Simulation
Abstract: Combining the sum-product algorithm with the factor graph can achieve cooperative positioning by a distributed manner. The sum-product algorithm is a message passing algorithm. However, the parameter method cannot meet the positioning needs because of the large error in the non-linear non-Gaussian environment. Therefore, this paper presents an algorithm to achieve message passing in the form of particle. The calculation of the message in the factor consists of summation and quadrature processes. The proposed method obtains the sum of messages by importance sampling, obtains the product of messages using Gibbs sampling. Particle-based information passing algorithm can simplify the complex …
Model Of Target Assignment In Joint Fire Strike Operations, Chen Hui, Yaping Ma
Model Of Target Assignment In Joint Fire Strike Operations, Chen Hui, Yaping Ma
Journal of System Simulation
Abstract: The assignment of firepower resources in combination to the target is one of the key problems in planning work of joint fire strike operations. According to the characteristics of joint fire strike target assignment problem, and synthetically considering the factors such as strike sequence, damage grade, threats, cost-effectiveness, damage, a multi-objective optimization model of target assignment problem is established. By combining the MOEA/D and the multi-level co-evolutionary framework, a multi-objective optimization model is proposed to solve the target assignment based on the multi-level cooperative MOEA/D algorithm, and the related genetic evolution mechanism is designed. The simulation …
Adaptive Feedback Elitist Teaching-Learning-Based Optimization Algorithm, Rongyu Li, Liang Dong, Guihong Qi
Adaptive Feedback Elitist Teaching-Learning-Based Optimization Algorithm, Rongyu Li, Liang Dong, Guihong Qi
Journal of System Simulation
Abstract: Elitist teaching-learning-based optimization (ETLBO) is a novel optimization algorithm based on the practical teaching-learning process of the class. An adaptive feedback elitist teaching-learning-based optimization (AFETLBO) algorithm is proposed to solve the problem of low precision and poor stability of the ETLBO. At the end of the learner phase, student can be divided into the top students and the inferior students dynamically by adding the adaptive feedback phase. In this phase, the inferior students should communicate with the teacher and enable themselves to be close to the teacher quickly so as to strengthen the convergence ability. The top students should …
Trajectory Planning And Interactive Simulation Software Design For Flight Vehicle With Specified Terminal Time, Mingwei Sun, Shunjian Ma, Zengqiang Chen, Chaofang Hu
Trajectory Planning And Interactive Simulation Software Design For Flight Vehicle With Specified Terminal Time, Mingwei Sun, Shunjian Ma, Zengqiang Chen, Chaofang Hu
Journal of System Simulation
Abstract: Specified terminal time is a special requirement in some path planning problems. It is difficult to solve in real time with specified time, angle and multiple no-fly zones considered. A practical path model is utilized, and a nonlinear optimization problem with respect to waypoints is reformulated. The requirements on time, angle and obstacle avoidance for original path planning problem are converted into constraints of the proposed optimization after geometrical relationships are identified. The optimization problem is established and met the form of sequential quadratic programming problem which is solved by SNOPT (Sparse Nonlinear OPTimizer) package. A computer-aid interactive simulation …
Coalescence Characteristics Of Droplets Containing Surfactants On Topographic Substrates, Xuemin Ye, Yuxi Lin, Lifang Lu, Chunxi Li
Coalescence Characteristics Of Droplets Containing Surfactants On Topographic Substrates, Xuemin Ye, Yuxi Lin, Lifang Lu, Chunxi Li
Journal of System Simulation
Abstract: The droplet motion evolution model was established based on the lubrication theory for two identical surfactant-containing droplets on the topographic substrate. The coalescing process of the droplets on topographic substrate was simulated, and the effects of spacing, wave number and base height on the characteristics of coalescing were examined. The results show that the two droplets meet and superimpose each other under the capillary force, and finally form a “new” droplet at tf. The dynamics of droplet over time are divided into five stages; while the surfactant concentration experiences the three stages in a short period; …
Image Classification Based On Sparse Autoencoder And Support Vector Machine, Liu Fang, Lixia Lu, Hongjuan Wang, Wang Xin
Image Classification Based On Sparse Autoencoder And Support Vector Machine, Liu Fang, Lixia Lu, Hongjuan Wang, Wang Xin
Journal of System Simulation
Abstract: A new algorithm of image classification based on the sparse autoencoder and the support vector machine was proposed in view of the drawbacks that the single layer sparse autoencoder for feature learning is easy to lose the deep abstract feature and the features lack the robustness. The deep sparse autoencoder is constructed to learn each image layer and the feature of each layer is automatically extracted. The each feature weights and the reorganized set of feature are obtained according to the feature weighting method. By combining the strong global search ability of genetic algorithm and the excellent performance of …
Parameter Identification Of Permanent Magnet Synchronous Motor Based On Mutation Coral Reef Algorithm, Dinghui Wu, Huang Xu, Yawei Quan, Zhicheng Ji
Parameter Identification Of Permanent Magnet Synchronous Motor Based On Mutation Coral Reef Algorithm, Dinghui Wu, Huang Xu, Yawei Quan, Zhicheng Ji
Journal of System Simulation
Abstract: High accuracy identification of parameters in Permanent magnet synchronous motor (PMSM) is the basis of controller design. According to the drawbacks of slow speed, big error, and small number of parameters in particle swarm optimization (PSO), least square method, and classical coral reefs optimization (CRO), an improved CRO with Cauchy and Gaussian mutation is proposed to solve the parameter identification problem in PMSM. The mathematical model of PMSM in dq coordinate system is established. The Cauchy and Gaussian mutation operator is introduced to CRO. Both of the two versions are applied for identifying parameters in PMSM, and are …
Dynamic Wear Monitoring Based On Stiffness Simulation Of Aircraft Radial Tire, Wang Hui, Kun Xu
Dynamic Wear Monitoring Based On Stiffness Simulation Of Aircraft Radial Tire, Wang Hui, Kun Xu
Journal of System Simulation
Abstract: During the wear monitoring for the aircraft tire, the expansion change on the top of tire crown caused inaccuracy for the monitoring results. Considering the aircraft tire cord with high strength, orthogonal anisotropy and tensile deformation, the main three dimensional nonlinear finite element model of B737-800 passenger aircraft radial tire was built using the Yeoh rubber constitutive model and the Rebar stiffener unit in Abaqus software. The problem of static contact between aircraft tire and road was successfully simulated using adaptive Lagrange algorithm. Radial tire stiffness, ground imprinting, main area of friction losses and sinkage were obtained by …
Multi-Objective Optimization Of The Main Circuit And Control Parameters Of The Buck-Boost Matrix Converter, Xiaoping Zhang, Wenhao Song, Hongping Zhu
Multi-Objective Optimization Of The Main Circuit And Control Parameters Of The Buck-Boost Matrix Converter, Xiaoping Zhang, Wenhao Song, Hongping Zhu
Journal of System Simulation
Abstract: The optimization of main circuit parameters and control parameters of the Buck-Boost matrix converter has been investigated. The study takes the main circuit parameters and control parameters as optimization object and takes the harmonic distortion of output voltage, capacitance voltage deviation and inductance current deviation of the converter as optimization target. Firstly, multi-objective optimization satisfaction function is established correspondingly. Meanwhile, the fitness function is built and solved to achieve a set of optimizing parameters based on the fruit fly algorithm, which makes each optimizing target achieve synergistic optimal. Finally, the optimization effect is verified by simulation. The results show …
Stackelberg Game Decision For Lord-Source Associated Day-Ahead Peak Load Regulation, Wenying Liu, Yalong Li, Guo Peng, Anqi Liang, Weizhou Wang
Stackelberg Game Decision For Lord-Source Associated Day-Ahead Peak Load Regulation, Wenying Liu, Yalong Li, Guo Peng, Anqi Liang, Weizhou Wang
Journal of System Simulation
Abstract: The probability distribution of wind power prediction error is obtained based on direct statistics, and the influence of the error on the day-ahead peak load regulation decision is analyzed. Energy-intensive load and conventional source are combined to improve the system’s dynamic peak load regulation capability. Since the power source and the energy-intensive load belong to different regulation systems and need to be regulated in a non-centralized way, the multi-objective optimization is not suitable and the game theory is adopted. The reliability goal minimizing the risk punishment and the economic goal minimizing the cost of peak load regulation are taken …
Prediction Of Aircraft Cabin Energy Consumption Based On Pso And Cro Algorithms, Xiuyan Wang, Yanmin Liu, Gewen Zhang, Zongshuai Li, Jiaquan Lin
Prediction Of Aircraft Cabin Energy Consumption Based On Pso And Cro Algorithms, Xiuyan Wang, Yanmin Liu, Gewen Zhang, Zongshuai Li, Jiaquan Lin
Journal of System Simulation
Abstract: To meet the requirements of the rapidity and the accuracy of the aircraft cabin energy consumption prediction for bridge-load air conditioner when an aircraft berthing, a forecasting method based on the combination of neural network, particle swarm and coral reef is proposed. The energy consumption prediction model is established based on wavelet neural network, and the prediction model parameters are optimized using the united algorithm of coral reefs and particle swarm optimization. The united algorithm adopts a double-layer structure: the data of the first layer are grouped and optimized by the particle swarm optimization algorithm for a preliminary optimization, …
Gams-Based Active Power Optimization With Reactive Power Compensation, Weiqing Sun, Ye Lei, Yiyun Tu
Gams-Based Active Power Optimization With Reactive Power Compensation, Weiqing Sun, Ye Lei, Yiyun Tu
Journal of System Simulation
Abstract: Based on the safe operation of the electric system, aiming at the problems of large power loss and high generation cost, it is unreasonable to schedule electricity through only one index, so a combined model of economic dispatch with reactive power optimization and a linearized model of unit commitment are proposed. The ideal point method changes multi-objective optimization problem which is combined with the generation cost and power loss into a single objective optimization problem and solved by GAMS. The case analysis for IEEE-39 bus system and a regional transmission network, by adjusting the generator active and reactive power …
Modeling And Analysis For Underwater High-Speed Supercavitaing Torpedo, He Zhen, Aiping Pang, Jinghua Wang, Fanwei Meng, Guangxiong Wang
Modeling And Analysis For Underwater High-Speed Supercavitaing Torpedo, He Zhen, Aiping Pang, Jinghua Wang, Fanwei Meng, Guangxiong Wang
Journal of System Simulation
Abstract: Supercavitation technology can significantly reduce skin-friction drag of underwater torpedo, and therefore dramatically increase the velocity and attack power of underwater weapons. Because the torpedo is almost entirely enveloped by a supercavity, the hydrodynamic problems of the high-speed supercavitating torpedo (HSST) are complex. The hydrodynamic forces acting on cavitator, fin, and the planing force along the longitude plane of the underwater HSST are analyzed. A benchmark nonlinear dynamics model of supercavitating torpedo is established based on the basic dynamic equations of the longitude plane, and the specific parameters of HSST are calculated. In the longitude plane the motion equation …