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Journal of Jiangsu University(Natural Science Eidtion)
 
2021 Vol.42 Issue.5
Published 2021-09-10

497 Coordinated control of active rear wheel steering and four wheel independent driving vehicle
FU Xiang1,2,3,4, YANG Fengju1,2,3,4, HUANG Bin1,2,3,4, HE Zongquan1,2,3,4, PEI Biao1,2,3,4
To improve the steering sensitivity of four-wheel steering vehicle at high speed and enhance the stability of four-wheel steering vehicle on low friction road, the coordinated control system of active rear wheel steering (ARS) and four-wheel torque distribution (4WTD) was designed based on the hierarchical coordinated closed-loop control strategy for ARS/4WID vehicle. The ARS controller with feedforward and feedback was designed with vehicle centroid sideslip angle as control objective. The 4WTD controller was designed with vehicle yaw rate and desired longitudinal speed as control objectives. The rule-based coordination controller was designed to distribute the working range of each sub controller reasonably. Establishing the CarSim / Simulink co-simulation platform, the designed coordinated control system was verified by simulation. The simulation results show that the designed coordinated control system can improve the performance of four-wheel steering vehicle.
2021 Vol. 42 (5): 497-505 [Abstract] ( 84 ) [HTML 1KB] [ PDF 3036KB] ( 862 )
506 Optimization control strategy of driving torque for slope-crossing of pure electric vehicles
ZHANG Jincheng1, WANG Tao1, WANG Liangmo1, ZOU Xiaojun2, SONG Wei2
To slove the problem of insufficient driving torque during the slope-crossing of pure electric vehicles, a control strategy was proposed based on road slope with acceleration pedal change rate as input and compensation torque as output. A slope recognition algorithm was adopted to effectively identify the real road slope. Vehicle model and control algorithm model were established in Matlab/Simulink for simulation analysis. The vehicle acceleration and climbing performance was simulated under 4% slope condition, and the speeds under the two control strategies were compared. The results show that the torque optimization control strategy can better identify the driver′s driving intent. For  the optimized torque control strategy, the acceleration time is 10.65 s at the speed from 0 to 50 km·h-1, which is 11.62% lower than that of the basic torque control strategy. The uphill acceleration time is 8.60 s at the speed from 50 to 80 km·h-1, which is 14.85% lower than that of the reference torque control strategy. The optimal torque control strategy can effectively improve the acceleration and climbing performance.  
2021 Vol. 42 (5): 506-512 [Abstract] ( 73 ) [HTML 1KB] [ PDF 1805KB] ( 682 )
513 Cooperative control of damping and body height based on model prediction
YU Wenhao, ZHOU Ying
To cooperate damping and body height adjustment of the air suspension effectively, based on the model predictive control theory, a model predictive controller was designed to solve the optimal suspension force under the current vehicle state with vehicle comprehensive evaluation index as cost function, and the suspension forces could be generated by adjustable damper and body height adjustment as constraints. The optimal suspension force was generated by changing damping coefficient of the adjustable damper and charging and discharging operation of the body height adjustment, and the cooperation between damper and body height was obtained. The results show that the proposed cooperative control strategy is feasible and can greatly reduce the sprung mass acceleration of suspension and the root mean square value of tire dynamic load. Under the bump condition, the cooperative control strategy can effectively reduce the vibration peak values of sprung and unsprung mass by 25% and 19%, respectively. Under the turning condition, the strategy can reduce the peak value of vehicle roll angle by 17%.
2021 Vol. 42 (5): 513-519 [Abstract] ( 43 ) [HTML 1KB] [ PDF 3306KB] ( 618 )
520 Modeling and simulating of single-mode compound power-split system
CHU Aihua1,2, YUAN Yinnan1, ZHANG Tong2
For the single-mode compound power-split hybrid system, the main working modes and the characteristics of different gears were analyzed. In the LMS/AMESim environment, the plant models of key components of the hybrid system were established, and the joint simulation model was integrated with the system control model established by Matlab/Simulink through the application program interface (API). The economic simulation of the vehicle was carried out by the joint simulation model, and the simulation results were compared with the test results of actual vehicle on chassis dynamometer. The results show that compared with the basic vehicle, the comprehensive fuel-consumption saving rate of the hybrid electric vehicle is 38%. The simulation error is within 5%, which is close to the actual vehicle test result. The established plant model has good accuracy, which can serve for system optimization and strategy development. The complicated testing process in the actual development process can be reduced, and the development efficiency can also be significantly improved.
2021 Vol. 42 (5): 520-525 [Abstract] ( 58 ) [HTML 1KB] [ PDF 5004KB] ( 535 )
526 Experiment on vibration characteristics of double-suction centrifugal pump under multiple working conditions
CHEN Jianhua1, LI Yibin2, LIU Xin2
To investigate the vibration characteristics of a double-suction centrifugal pump under different working conditions, the shell vibration test and the shaft vibration test of the centrifugal pump unit under different working conditions were carried out by LMS Test.Lab test system. The shell vibration, the shaft vibration and the axis trajectory of the pump were tested at 5 flow points and 5 rotating speeds. The frequency spectrum of the shell vibration and shaft vibration changed with flow rate and rotating speed was obtained by data processing. The experimental results show that the vibration intensity of shell vibration is fluctuated with the increasing of flow rate and is  increased with the increasing of rotational speed. The size and variation trend of shell vibration are different at different measuring points and in different directions. The peak displacement of axial vibration is nonlinearly increased with the increasings of flow rate and rotation speed. The shell vibration spectra of different measuring points and directions are different, which indicates that there are much fluid-induced vibration. The trends of axial vibration with flow rate and rotation speed are similar in the two mutually perpendicular directions. The changes of flow rate and rotation speed have obvious influence on the axis trajectory.
2021 Vol. 42 (5): 526-532 [Abstract] ( 69 ) [HTML 1KB] [ PDF 6752KB] ( 498 )
533 Remote fault diagnosis system of tea garden tractor based on fuzzy neural network
LIANG Jun, MA Zhiyi, PAN Chaofeng, CHEN Long
To solve the problem of traditional fault diagnosis for tea garden tractor with serious delay during collecting fault information, a remote fault diagnosis system(RFDS) of tea garden tractor was proposed based on fuzzy neural network(FNN). Combining the advantages of fuzzy algorithm and neural network, through the real-time monitoring of vehicle operation information, the vehicle information was remotely processed to obtain vehicle potential fault and real-time fault information for avoiding a large number of detections in traditional methods, and more time was gained for maintenance and improving production efficiency. Based on the simulation software of Carsim, the vehicle operation was simulated in real time,and the algorithm model was trained and verified by training set and test set. The results show that FNN diagnosis algorithm can meet the performance requirements of the system, and the accuracy can reach more than 90%. The tractor fault in tea garden can be diagnosed remotely. RFDS technology also plays an important role in the development of vehicles. The performance of vehicles can be evaluated through remote fault diagnosis system in the R & D stage of vehicles, which saves a lot of human resources.
2021 Vol. 42 (5): 533-539 [Abstract] ( 61 ) [HTML 1KB] [ PDF 2673KB] ( 522 )
540 Application prospect of voice technology in agricultural intelligence
LIU Jizhan, HOU Guangyu
 In view of the complex working environment,inconvenient operation and low efficiency of agricultural intelligent equipment,the application prospects of voice technology in agricultural intelligence were prospected. The overall architecture of the software and hardware of the voice system in agricultural equipment was proposed,and the voice technology was divided into four parts with voice prompt,voice alarm,voice control and visual voice.In the ROS development environment,the python compilation language was used to establish the control software system framework,and the complete set of control software was divided into crop information detection unit,operation information detection unit, voice signal receiving unit,operation command control unit and voice broadcast-alarm unit.Each modular programming of functional units was conducted to realize multi-functional synchronous and coordinated operation of the entire system.Taking the grape picking robot as example, the voice prompt function of the picking robot operation information,the voice control of the picking robot movement function,the field grape variety and maturity information recognition and storage and voice broadcast function were realized.It has a certain value for promoting the application of voice technology in agricultural intelligence.
2021 Vol. 42 (5): 540-545 [Abstract] ( 66 ) [HTML 1KB] [ PDF 1496KB] ( 739 )
546 Network public opinion forecasting method fusing microblog hotspot analysis and LSTM model
LIU Dingyi1, SHEN Yangyang2, ZHAN Tianming2, LIU Yajun3, YING Yi1
Nowadays, the Internet not only becomes an important platform for the public to obtain information and express views, but also brings the risk of social public opinion events. By predicting the trend of network public opinion in advance, the development of hot events can be accurately judged to provide suggestions to relevant departments of government for dealing with public opinion crisis. To solve the problems of poor prediction of single prediction model and great influence of social media on the trend of public opinion, a public opinion prediction method was proposed based on microblog hotspot analysis and LSTM neural network. The network public opinion prediction system was constructed for public opinion time series data analysis by web crawler and PyTorch machine learning platform. Considering the strong currency of microblog, the microblog heat score was calculated with the network hotspot analysis technology.LSTM network was improved, and MH-LSTM prediction model with two hidden layers was designed. Applying MH-LSTM model into the quantitative prediction of Baidu index of public opinion events, the experiments show the correctness with good prediction effect of the proposed model.
2021 Vol. 42 (5): 546-553 [Abstract] ( 59 ) [HTML 1KB] [ PDF 2128KB] ( 682 )
554 Classification of liver tumors based on joint feature learning and multiple transfer learning
JIANG Rui, LIU Zhe, SONG Yuqing, CHEN Peng, HAO Wen
To achieve accurate classification of liver tumor lesions, a liver tumor lesion classification method was proposed based on joint feature learning and multiple transfer learning. The data augmentation was completed on the image of input network through the preprocessing method of expansion channel, and the network could extract more feature information from the original input image. A joint feature learning dual-stream convolutional neural network was designed to extract features to avoid the loss of some feature information due to the increasing in network depth. An ensemble classifier was adopted to achieve the final classification, and the entire ensemble classifier was optimized through the multiple loss constraints. The parameter transfer and domain adaptation were combined in the training process of the model to reduce loss and improve the fitting performance of the model. In the experiment, 155 plain CT images of the abdomen were used, and several evaluation indices of specificity, sensitivity, precision, F1-score, accuracy and error rate were designed. The results show that the proposed method can realize the classification of hepatocellular carcinoma (HCC), metastatic liver cancer (MET), hemangioma (HEM) and normal liver tissue, and the average classification accuracy rate reaches 96%.
2021 Vol. 42 (5): 554-561 [Abstract] ( 55 ) [HTML 1KB] [ PDF 1728KB] ( 545 )
562 Modeling and optimization of modern agricultural logistics system in Jiangsu province based on system dynamics
HE Meiling, AN Yongfeng, PU Jun
To determine the interaction among agricultural logistics demand, logistics supply, agricultural GDP and regional population in the modern agricultural logistics system of Jiangsu province, and analyze the impact of logistics information technology on the agricultural logistics system, the model of modern agricultural logistics system was constructed and optimized. The method of qualitative analysis was used with 13 evaluation variables, and the Vensim PLE software was used to draw the cause and effect diagram according to the relationship between each variable. The method of quantitative analysis was used to draw the system flow diagram according to the cause and effect diagram, and the system dynamics equation of each variable was established by Jiangsu statistical yearbook, China transportation development bulletin and SPSS data analysis software. The model was checked and simulated. The results show that when the proportions of investment in logistics information technology are increased by one, two and three times, the agricultural logistics supply quantities in Jiangsu province are increased by respective 2.25%, 4.49% and 6.73% on average, while the costs of agricultural logistics are decreased by respective 0.63%, 1.22% and 1.82% on average. Using modern information technology in agricultural logistics activities can make a positive impact on the entire logistics system.
2021 Vol. 42 (5): 562-568 [Abstract] ( 64 ) [HTML 1KB] [ PDF 1983KB] ( 536 )
569 Application of blockchain technology in smart grid stability control system
LEI Ming1, CUI Xiaodan1,2, YANG Tianshu1, LIANG Shizhe1, WU Jialong1, XU Jianbing1,2
To solve the problems of low efficiency and difficulties of tracing process, online supervising and data updating in the current control mode of stability control system, the blockchain technology was embedded in the control framework of stability control system. Taking the advantage of blockchain technology, the data information involved in each stage of the control process of stability control system was packaged and distributed, so that the key data information could be traced and not be tampered to control the whole life cycle control process. The management and operation of stability control system and the control application architecture were constructed based on blockchain. The block data structure was given, and the delegated proof of stake (DPOS) was adopted. Based on the control project practice of a stability control system in progress, the application platform of stability control system management was developed based on blockchain. The results show that in the operation and maintenance management stage, the policy file and setting value file can realize the real-time supervision of online storage and consistency inspection, and the level of intelligence and automation of stability control system is further improved.
2021 Vol. 42 (5): 569-574 [Abstract] ( 50 ) [HTML 1KB] [ PDF 1988KB] ( 673 )
575 Sensitivity evaluation and classification method of power users to power supply reliability
ZHANG Yuxuan1, SU Juan1, JIA Tao2, CHEN Jin2, XING Zhanli2
To urge power supply companies to effectively fulfill their political, economic and social responsibilities, and to achieve effective mobilization of demand-side resources and efficient management of power distribution resources, the sensitivity evaluation and the classification of power users were investigated. The sensitivity characteristics of power users were analyzed, and the definition of power user sensitivity was proposed. A power user sensitivity evaluation index system was established based on three factors of politics, economy and society, and the  evaluation index matrix was established. The quantitative and qualitative index data preprocessing methods were provided. The power user sensitivity evaluation algorithms were introduced based on analytic hierarchy process (AHP), fuzzy C-means (FCM) clustering algorithm and comprehensive evaluation method combining the two methods. The evaluation algorithm was applied to a provincial science and technology core area, and the sensitivities of industry and commerce in the area users, residents and public service users were evaluated. The results show that the sensitivity levels of each user can be obtained by the proposed method, which can provide reference for the planning and construction of network distribution in the region.
2021 Vol. 42 (5): 575-581 [Abstract] ( 49 ) [HTML 1KB] [ PDF 1435KB] ( 724 )
582 Design and testing of intelligent intra-row mechanical weeding equipment based on vertical rotating mechanism
QUAN Longzhe, WANG Qi, ZHANG Jingyu, FENG Huaiqu, WU Bing
To meet the requirements of mechanical intra-row weeding for maize, an intelligent intra-row weeding device was designed based on vertical rotating mechanism. The overall structure of the weeding device and the principle of avoiding crops were elaborated, and the key components of the weeding device were designed by theoretical analysis and EDEM simulation. Taking the working speed, the angle of disc weeding knife and the depth of weeding knife into soil as test factors, the orthogonal test was carried out based on the evaluation indices of weeding rate and injury rate. The results show that the decreasing effecting sequence of various factors on the index is the working speed, the depth of weeding knife into soil and the angle of disc weeding knife. The optimal level combination is obtained with the working speed of 0.5 m·s-1, the depth of weeding knife into soil of 50 mm and the angle of weeding blade of 60°. At the optimal level combination, the field weeding test shows that the weeding rate and injury rate are 89.57% and 4.54%, respectively.
2021 Vol. 42 (5): 582-588 [Abstract] ( 58 ) [HTML 1KB] [ PDF 84279KB] ( 525 )
589 Solving camera pose based on two-dimensional code
WU Fei, JIE Yuanhang, YU Shenzhi
To solve the positioning problem of the visual robot, based on the two-dimensional code, a method for solving camera pose was proposed to realize the precise positioning of the visual robot. Using the open source computer vision libracy(OpenCV), the standard positions of the two-dimensional code and the camera were calibrated. The image was preprocessed to obtain the accurate edge contour of the two-dimensional code. The loop traversal and the maximum distance algorithm were used to solve the feature points, and the "pixel mutation" algorithm was used to optimize the edge distortion caused by low pixel. The feature points were used to solve the camera position through coordinate transformation, and the method was tested in actual scenes. The experimental results show that the rotation axis error of the algorithm is plus or minus 0.18 meters with the rotation angle error plus or minus 2 degrees and the total translation error plus or minus 0.02 meters, which can realize accurate and effective vision robot positioning.
2021 Vol. 42 (5): 589-595 [Abstract] ( 50 ) [HTML 1KB] [ PDF 3893KB] ( 686 )
596 Double-layer membrane acoustic metamaterial with electromagnetic tunable frequency
WU Weiguo, LIU Chuang, BI Jianan
To broaden the sound insulation bandwidth of acoustic metamaterials in low frequency sound waves, a double-layer membrane acoustic metamaterial with electromagnetic tunable frequency was designed, which was composed of a double-layer membrane, carbonyl iron powder between membranes, additional lead, aluminum frame and electromagnetic field loading device. The acoustic performance of the acoustic metamaterial was investigated by COMSOL Multiphysics 5.5 simulation software and experiment methods. The results show that the acoustic metamaterial can achieve good sound insulation effect in low frequency range, and the natural frequency of the acoustic metamaterial can be achieved by changing magnetic field strength with inputting different currents. Compared with passive acoustic metamaterials, the non-contact active control of sound insulation performance of the acoustic metamaterials can be achieved by directional adjustment, and the sound wave control bandwidth of the structure can be broadened. The influence of material parameters on the acoustic properties of acoustic metamaterials illuminates that with the increasing of double-layer membrane thickness, the Young′s modulus is increased, and the acoustic metamaterial can obtain wider sound insulation bandwidth.
2021 Vol. 42 (5): 596-601 [Abstract] ( 72 ) [HTML 1KB] [ PDF 14082KB] ( 428 )
602 Buckling stability analysis for tapered pile in slopes based on energy method
ZHANG Rui, LI Chuanxun, JIN Dandan
Considering the side frictional force and the soil thrust behind pile, with nonlinear side horizontal elastic soil resistance distribution, the buckling stability analysis for tapered pile in slopes was discussed based on Rayleigh-Ritz method to obtain the formulation of critical buckling load for tapered pile in slopes. The effects of slope angle, distribution of soil thrust behind pile, pile embedded ratio, side frictional force and pile insertion ratio on buckling stability for tapered pile in slopes were analyzed. The results show that compared with equal diameter piles, the critical buckling loads for tapered piles in slopes are increased for different varying rates of pile diameter when pile tip diameter keeps constant. The critical pile buckling load is increased with the increasing of varying rate of pile diameter. Slope angle, pile embedded ratio and pile insertion ratio have significant effects on the buckling stability for tapered pile in slopes. The side frictional force is helpful to increase the critical pile buckling load, but the improvement extent is limited. The effects of the value and distribution of soil thrust behind pile on the critical pile buckling load is tiny. Both of them can be neglected.
2021 Vol. 42 (5): 602-608 [Abstract] ( 49 ) [HTML 1KB] [ PDF 1372KB] ( 510 )
609 Analysis of crack width of new hybrid reinforced beams with BFRP and SFCB
YANG Yang, PAN Deng, XIA Liujia, XING Xiang, XU Cheng
The hybrid reinforced concrete (Hybrid-RC) beams with the combination of new fiber composite materials and steel bars of BFRP(Basalt fiber-reinforced polymer) and SFCB(steel-FRP composite bar) are often reinforced with asymmetric reinforcement, which may leads to excessive crack width in the structure. To solve the problem, seven concrete beams were designed. The crack behavior of Hybrid-RC beam with asymmetric reinforcement was investigated.The experimental results show that the equivalent reinforcement ratio of ρe and the axial tensile strength ratio of γ between reinforcement and FRP bars have great influence on the crack width of Hybrid-RC beam. For the calculation of the crack width of Hybrid-RC beams, the recommended values of the bond-quality coefficient of kb using the American Concrete Institute (ACI) code and the Canadian Standard Association (CSA) code are given respectively.
2021 Vol. 42 (5): 609-615 [Abstract] ( 46 ) [HTML 1KB] [ PDF 3330KB] ( 478 )
616 Analysis of axial compressive bearing capacity of FRP confined rubber concrete
CAO Yugui1, LI Longlong1, QIAO Lige2
To accurately calculate the compressive strength of fibre reinforced polymer (FRP) confined rubber concrete, the existing compressive strength models of FRP confined rubber concrete of related literature were analyzed. The 122 test data collected from literature were used to evaluate the accuracy of the existing model. The evaluation results show that rubber particle volume replacement rate of concrete coarse and fine aggregates and the FRP type have significant effect on the compressive strength of FRP confined rubber concrete. Based on the evaluation results, a new compressive strength model with considering rubber particle replacement rate coefficient and FRP type was established. The predicted value of the new compressive strength model is relatively close to the test value, and the error evaluation index value is 0.09.
2021 Vol. 42 (5): 616-620 [Abstract] ( 64 ) [HTML 1KB] [ PDF 1690KB] ( 483 )
江苏大学学报(自然科学版)
 

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