The Development Analysis of Leisure Agriculture in Xinxiang City, Henan Province Based on GAHP-SWOT

Jingping Xian,Cuiyue Dong,Lifang Qiao 보안공학연구지원센터 2016 International Journal of Smart Home Vol.10 No.2

Leisure agriculture is an industry which combines the agricultural production and leisure recreation. In order to promote the development of leisure agriculture, it is particularly important to conduct an analysis of its development from the overall perspective of the city. This paper takes Xinxiang City of Henan Province in China as an example and adopts GAHP-SWOT as the analysis method. Based on affirming the influencing factors of advantages, disadvantages, opportunities and threats, the AHP method is adopted to calculate the weights of different factors and sort them so as to realize the organic combination of the qualitative and quantitative analysis. Group Decision is used in computation to exert the collective intelligence. The result shows that the indicators S4 and S3 are relatively high-weight advantages while the indicators W1 and W4 are relatively high-weight disadvantages, and the indicators O4 and O2 are relatively high-weight opportunities while the indicators T5 and T2 are relatively high-weight threats. The development strategy was put forward according to the analysis result in order to provide decision-making basis for the development planning of leisure agriculture in Xinxiang City.

Dissipativity-based Robust Reduced-order Fault Estimation Observer Design of Multi-agent Systems

Jingping Xia,Bin Jiang,Ke Zhang 제어·로봇·시스템학회 2017 International Journal of Control, Automation, and Vol.15 No.6

In this paper, a distributed reduced-order fault estimation observer is studied for both continuous- and discrete-time multi-agent systems with directed communication topologies. Initially, a distributed reduced-order observer is proposed to estimate the occurred faults, which can reduce the number of the fault estimation observer’s order of multi-agent systems. What is more, based on strict dissipativity and pole placement constrains, a multiconstrained design is given to calculate gain matrices of distributed reduced-order observer. Finally, simulation results are presented to demonstrate the effectiveness of the proposed distributed reduced-order fault estimation technique.

Interface contact pressure-based virtual gradient material model for the dynamic analysis of the bolted joint in machine tools

Jingping Liao,Jianfu Zhang,Pingfa Feng,Dingwen Yu,Zhijun Wu 대한기계학회 2016 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.30 No.10

Bolted joints have significant influence on the dynamic characteristic of the machine tool assembly. This study proposes a new modeling method using virtual gradient material. On the basis of Hertz contact theory and fractal geometry theory, the relationship between contact stiffness and normal contact load is deduced. The contact pressure distribution at the interface is obtained through finite element contact analysis. An orthogonal material model is introduced to describe the properties of virtual material. The virtual material is divided into several layers, and the elastic modulus and shear modulus in each sub-layer are derived based on Hooke’s Law. Both experimental and theoretical results for a bolted lap structure are obtained. The experimental results are compared with theoretical ones in terms of qualitative comparison of similar mode shapes and quantitative comparison of corresponding natural frequencies. The comparison shows that the theoretical first three-order vibration mode shapes are in good line with the experimental ones. The relative errors of corresponding natural frequencies between the virtual gradient material model and the experiment are less than 9%, which are smaller than those between the traditional virtual uniform material model and the experiment. The proposed virtual gradient material method would be useful to accurately model the bolted joint in CNC machine tools.

Robust Asymptotic Estimation of Sensor Faults for Continuous-time Interconnected Systems

Jingping Xia,Bin Jiang,Ke Zhang 제어·로봇·시스템학회 2019 International Journal of Control, Automation, and Vol.17 No.12

This paper concerns the problem of robust asymptotic estimation of sensor faults for continuous-time interconnected systems. Firstly, an augmented singular interconnected system is constructed, which is equivalent to the original interconnected system. Then for the ingular system, the distributed fault estimation observer based on the correlation between subsystems is proposed to achieve a robust asymptotic estimation of sensor faults. Furthermore, the online fault estimator is designed to estimate unknown sensor faults in real time. Finally, the simulation results verify the feasibility and effectiveness of the proposed design techniques.

Effect of Acetic Acid on Bacteriocin Production by Gram-Positive Bacteria

( Jingping Ge ),( Jie Kang ),( Wenxiang Ping ) 한국미생물생명공학회(구 한국산업미생물학회) 2019 Journal of microbiology and biotechnology Vol.29 No.9

Acetic acid is indirectly involved in cell center metabolism, and acetic acid metabolism is the core of central metabolism, affecting and regulating the production of bacteriocin. Bacteriocin is a natural food preservative that has been used in the meat and dairy industries and winemaking. In this paper, the effects of acetic acid on bacteriocin produced by Gram-positive bacteria were reviewed. It was found that acetic acid in the undissociated state can diffuse freely through the hydrophobic layer of the membrane and dissociate, affecting the production, yield, and activity of bacteriocin. In particular, the effect of acetic acid on cell membranes is summarized. The link between acetic acid metabolism, quorum sensing, and bacteriocin production mechanisms is also highlighted.

An Experimental Study on Seepage within Shale Fractures due to Confining Pressure and Temperature

Jingping Wang,Haichun Ma,Peichao Feng,Qing Zhang,Jiazhong Qian,Xiaohui Tan,Lei Ma,Daoxiang Wu 대한토목학회 2021 KSCE JOURNAL OF CIVIL ENGINEERING Vol.25 No.9

Seepage of groundwater within rock fractures is widespread. The seepage conditions in the fractures can be affected by the stress and temperature conditions. Shale seepage conditions are a complicated coupling of stress and temperature. Experiments were carried out on shale samples containing three types of fractures: a single short fracture (type A), a single long fracture (type B), and symmetrical short fractures (type C). Three temperature conditions were set for type A. The coefficient C, which is defined as the ratio between the seepage pressure and the flow rate, is constant when the temperature effects are slight. Linear correlations between the coefficient C and the temperature were simulated. For type B, four confining pressures were applied using the confining pressure pump. As the confining pressure increases, the seepage pressure increases. The seepage pressure distribution is nonlinear when the flow rate increases to 6 ml/min under a confining pressure of 12 MPa. For type C, three temperature conditions with three confining pressure conditions were analyzed to determine the seepage pressure. The effects of the confining pressure on the seepage pressure are different from those of type B. Nonlinear curves occur under confining pressures of 3 MPa and 6 MPa at 50°C. The seepage pressure values at 70°C are smaller than those at 30°C and 50°C. The coefficient C contour is depicted for the experimental ranges of temperature and confining pressures. The small value region of coefficient C occurs at about 6 MPa and 50°C. The nonlinear increase in the seepage pressure in the fractures occurred when the confining pressure was larger for a single fracture and when the confining pressure was lower for double fractures.

Unknown Input Observer-based Distributed Fault Estimation of Discrete-time Nonlinear Interconnected Systems

Jingping Xia,Bin Jiang,Ke Zhang 제어·로봇·시스템학회 2022 International Journal of Control, Automation, and Vol.20 No.3

In this paper, the distributed fault estimation problem of discrete-time nonlinear interconnected systems is studied. Unlike in continuous-time interconnected systems, the coupling terms between interconnected subsystems make the design of fault estimation observer for discrete-time interconnected systems more difficult. An augmented interconnected system is constructed, and the global error dynamical equation of interconnected systems is formed from a global perspective, which is convenient for handling the coupling terms. Furthermore, the unknown input observer-based distributed fault estimation design is proposed to completely decouple external disturbances, and a multi-constrained design is given to calculate the matrix gains of the fault estimation observer. The sufficient conditions of this design are presented in terms of linear matrix inequalities. Finally, simulation results of the tripled-inverted pendulum model are given to verify the effectiveness of the present design techniques.

A Coordinated Control Method of Thrust Vector and Aerodynamic Surfaces Based on Control Allocation Technology

Shi Jingping,Lv Yongxi,Qu Xiaobo,Shi Jing 제어로봇시스템학회 2018 제어로봇시스템학회 국제학술대회 논문집 Vol.2018 No.10

As one of the most important technologies of the advanced fighter, thrust vector technology can greatly increase the range of controlled angle of attack, and make the fighter easily realize the post stall maneuver. However currently thrust vector technology is achieved by manually manipulating the additional vector stick, which greatly increases the burden on pilots. Thus how to bring the thrust vector control into the automatic control system to reduce the pilot operation burden has become an important engineering problem to be solved. A dynamic inverse design method based on daisy chain allocation method is proposed, which integrates the thrust vector into the automatic control system, thus eliminating the thrust vector manipulating mechanism and reducing the pilot`s operating burden. In addition, the method maximizes the use of the control surface and reduces the use time of the thrust vector, thus effectively reducing the maintenance cost of the engine. The simulation results of vector cylinder maneuver shows that this method can effectively achieve the coordinated control of thrust vector.

Reconfigurable Flight Control System Design for Blended Wing Body UAV Based on Control Allocation

Xiaobo Qu,Jingping Shi,Haijun Zhou,Ling Zuo,Yongxi Lyu 제어로봇시스템학회 2018 제어로봇시스템학회 국제학술대회 논문집 Vol.2018 No.10

The aircraft control surface fault reconfigurable scheme based on control allocation is an active approach to achieve fault-tolerant in flight control. It has obvious advantages such as the structure and parameters of the control law does not need to be redesigned as deflector failures occurs. The attainable moment subset and allocation efficiency with typical control allocation algorithms are evaluated. A modular scheme reconfigurable flight control system (FCS) of a miniature tailless Blended Wing Body UAV is studied by utilizing weighted pseudo-inverse, direct control, and fixed-point control allocation methods. The performance of the reconfigurable FCS is tested and verified with the simulation including typical failure modes such as deflector floating, loss-of-effectiveness and lock-in-place. Results validate that the reconfigurable FCS based on control allocation has preferable ability to handle deflector failures, improve the safety and reliability of aircraft. And the modular scheme proposed in the article demonstrates a good application prospect in the field of aviation and aerospace engineering.

Adaptive Back-stepping Neural Control for an Embedded and Tiltable Vtail Morphing Aircraft

Fuxiang Qiao,Jingping Shi,Xiaobo Qu,Yongxi Lyu 제어·로봇·시스템학회 2022 International Journal of Control, Automation, and Vol.20 No.2

This paper presents an adaptive back-stepping neural control (ABNC) method for the coupled nonlinear model of a novel type of embedded surface morphing aircraft. Based on a large number of aerodynamic data for different V-tail configurations, the longitudinal and lateral aerodynamic characteristics of the aircraft are analyzed, and a nonlinear model with six degrees-of-freedom is established. To avoid the problem of “differential explosion,” the controller is designed using the traditional back-stepping control (TBC) method with a first-order filter. Radial basis function neural networks are introduced to estimate the uncertainty and external disturbance of the model, and a controller based on the ABNC method is designed. The stability of the proposed ABNC controller is proved using Lyapunov theory, and it is shown that the tracking error of the closed-loop system converges uniformly within specified bounds. Simulation results show that the ABNC controller works well, with better tracking performance and robustness than the TBC controller.