Safety control program for complex system based on behavior science

To control complex system's safety effectively,safety control program was supported based on the principles of behavioral science that shapes organizational be- havior,and organizational behavior produced individual behavior.The program can be structured into a model that consists of three modules including individual behavior rectifi- cation,organization behavior diagnosis and model of safety culture.The research result not only reveals the deep cause of complex system accidents but also provides structural descriptions with the accidents cause.

Application Strategy of PLC Technology in Energy-Saving Control of Tunnel Lighting

In this study,we investigated on the application of planar lightwave circuit(PLC)technology in energy-saving control of tunnel lighting.The application status of PLC in the field of energy saving followed by the necessity of energy saving in tunnel lighting was analyzed.Finally,the application of PLC in tunnel lighting energy-saving control around the three dimensions of system overall architecture design,control scheme,and program control process was investigated.The results showed that the system meets the requirements of control effect,robustness,and visual effect after trial operation,and is suitable for practical applications.

Design of intelligent distinguishing system for slot machine based on PLC

Due to the emergence of a large number of counterfeit notes and incomplete coins in the slot machine of self-service bus, to improve the automization of intelligent slot machine, based on multi-sensor testing technology, using programming log- ic controller （PLC） as the core of the whole system, the PLC hardware design and software design are accomplished for the first time to detect the counterfeit notes and coins. The system was tested by many groups of experiments. The results show that the system has reliable recognition rate, good flexibility and stability, reaching the accuracy of 97%.

A Novel Distributed Optimal Adaptive Control Algorithm for Nonlinear Multi-Agent Differential Graphical Games

In this paper, an online optimal distributed learning algorithm is proposed to solve leader-synchronization problem of nonlinear multi-agent differential graphical games. Each player approximates its optimal control policy using a single-network approximate dynamic programming(ADP) where only one critic neural network(NN) is employed instead of typical actorcritic structure composed of two NNs. The proposed distributed weight tuning laws for critic NNs guarantee stability in the sense of uniform ultimate boundedness(UUB) and convergence of control policies to the Nash equilibrium. In this paper, by introducing novel distributed local operators in weight tuning laws, there is no more requirement for initial stabilizing control policies. Furthermore, the overall closed-loop system stability is guaranteed by Lyapunov stability analysis. Finally, Simulation results show the effectiveness of the proposed algorithm.

Vehicle path tracking by integrated chassis control

The control problem of trajectory based path following for passenger vehicles is studied. Comprehensive nonlinear vehicle model is utilized for simulation vehicle response during various maneuvers in MATLAB/Simulink. In order to follow desired path, a driver model is developed to enhance closed loop driver/vehicle model. Then, linear quadratic regulator(LQR) controller is developed which regulates direct yaw moment and corrective steering angle on wheels. Particle swam optimization(PSO) method is utilized to optimize the LQR controller for various dynamic conditions. Simulation results indicate that, over various maneuvers, side slip angle and lateral acceleration can be reduced by 10% and 15%, respectively, which sustain the vehicle stable. Also, anti-lock brake system is designed for longitudinal dynamics of vehicle to achieve desired slip during braking and accelerating. Proposed comprehensive controller demonstrates that vehicle steerability can increase by about 15% during severe braking by preventing wheel from locking and reducing stopping distance.

Pollution Control Programs of Large-Scale Livestock and Poultry Farms in the Dianchi Lake Basin

With the enlarging scale and intensifying production of livestock and poultry breeding, the environment pollution becomes increasingly prominent in the Dianchi Lake Basin since 1990s. According to the survey of ＂The First National Census of Pollution Sources＂, occurrence and discharge of pollutants in large-scale livestock and poultry farms in this region were first understood. The pollution characteristics of large-scale live- stock and poultry breeding were also analyzed deeply. On this basis, the significance of pollution control programs for environment protection was investigated from aspects of pollution control policy, technology management and publicity.

A Newly Proposed Temperature Control Methods of Fuel Gas Shuttle Kiln

A program control was applied in the fuel gas shuttle kiln,and its principle and disadvantge were analyzed.An advanced set point control method,in which the change rate of temperature is the controlled variable,is also described,and the new control system makes the control precision of temperature improved.

Setup and application of a structural seismic hybrid simulation system on local area network

To implement structural hybrid simulation independent of the control system of any testing equipment in civil engineering, an external command control approach is put forward. Several setup technologies and the corresponding API approaches are investigated to simultaneously combine numerical simulation with physical testing. Hybrid program technology is put forward and described in detail, using Visual C++ program to effectively and accurately control testing equipment and MATLAB program to implement numerical simulation with easy extension. The control program of testing equipment and numerical simulation program are integrated by calling MATLAB engine in Visual C++. A hybrid simulation about a full-scale six-story masonry structure is carried out. The testing results manifest that the external command control approach has the versatility because of simple hardware connection and control program independent on control software of testing equipment; powerful program function of Visual C++ and flexible program of MATLAB are integrated by hybrid program technology; hybrid simulation system provides a realistic and cost-effective testing platform that enables earthquake engineer researchers to accurately and efficiently capture the seismic performance of large or complex structures without having to carry out physical testing of the entire structure.

Developing of robot flexible processing system for shipbuilding profile steel

A robot flexible processing system of shipbuilding profile steel was developed. The system consists of computer integrated control and robot. An off line programming robot was used for marking and cutting of shipbuilding profile steel. In the system the deformation and position error of profile steel can be detected by precise sensors, and figure position coordinate error resulted from profile steel deformation can be compensated by modifying traveling track of robotic arm online. The practical operation results show that the system performance can meet the needs of profile steel processing.

Learning control of fermentation process with an improved DHP algorithm

Control of the fed-batch ethanol fermentation processes to produce maximum product ethanol is one of the key issues in the bioreactor system.However,ethanol fermentation processes exhibit complex behavior and nonlinear dynamics with respect to the cell mass,substrate,feed-rate,etc.An improved dual heuristic programming algorithm based on the least squares temporal difference with gradient correction(LSTDC) algorithm(LSTDC-DHP) is proposed to solve the learning control problem of a fed-batch ethanol fermentation process.As a new algorithm of adaptive critic designs,LSTDC-DHP is used to realize online learning control of chemical dynamical plants,where LSTDC is commonly employed to approximate the value functions.Application of the LSTDC-DHP algorithm to ethanol fermentation process can realize efficient online learning control in continuous spaces.Simulation results demonstrate the effectiveness of LSTDC-DHP,and show that LSTDC-DHP can obtain the near-optimal feed rate trajectory faster than other-based algorithms.

Stochastic optimal control of cable vibration in plane by using axial support motion

A stochastic optimal control strategy for a slightly sagged cable using support motion in the cable axial direction is proposed. The nonlinear equation of cable motion in plane is derived and reduced to the equations for the first two modes of cable vibration by using the Galerkin method. The partially averaged Ito equation for controlled system energy is further derived by applying the stochastic averaging method for quasi-non-integrable Hamiltonian systems. The dynamical programming equation for the controlled system energy with a performance index is established by applying the stochastic dynamical programming principle and a stochastic optimal control law is obtained through solving the dynamical programming equation. A bilinear controller by using the direct method of Lyapunov is introduced. The comparison between the two controllers shows that the proposed stochastic optimal control strategy is superior to the bilinear control strategy in terms of higher control effectiveness and efficiency.

Call for papers Journal of Control Theory and Applications Special issue on Approximate dynamic programming and reinforcement learning

Approximate dynamic programming (ADP) is a general and effective approach for solving optimal control and estimation problems by adapting to uncertain and nonconvex environments over time.

REALIZATION OF ALGORITHM OF TOOL PATH GENERATION FOR NC MACHINING OF MOLAR PROSTHESIS

The CAD model of molar prosthesis is usually stored in standard templete library （STIr） format. A new topological structure is given based on STL format and the vertex-based entity offset algorithm is presented to realize the rapid generation of roughing/finishing tool path for molar prosthesis. Simulation results show that the proposed algorithm prossesses characteristics of excellent stabilization, fast calculation speed and high machining accuracy.

新型微机调速器的应用

本文针对农村水电站水轮机调速器存在的问题及调速器选型进行探讨,对新型调速器原理进行了解析,通过计算机控制数字阀式调速器,在虎山电站的实际应用的良好效果,对新建电站以及老电站水轮机调速器的改造提出了具体的建议性意见。

Fault-Tolerant Communication Network System for the Super Stored Program Control Exchange

With the increasing popularity of the computer network, more and more attention is paid to the reliability of the network. To improve the reliability of the communication network in the stored program control exchange, the author propounds a redundant method supported by a kind of the double local area network. Fault detection, hardware switching and system rebuilding are processed automatically by the administration of the software. The method can improve not only the system′s reliability but also its communication efficiency. It has been implemented in the pSOSystem environment in a super stored program control exchange.

Optimization of Numerical Control Program and Machining Simulation Based on VERICUT

In the machining process of large-scale complex curved surface,workers will encounter problems such as empty stroke of tool,collision interference,and overcut or undercut of the workpieces.This paper presents a method for generating the optimized tool path,compiling and checking the numerical control(NC)program.Taking the bogie frame as an example,the tool paths of all machining surface are optimized by the dynamic programming algorithm,Creo software is utilized to compile the optimized computerized numerical control(CNC)machining program,and VERICUT software is employed to simulate the machining process,optimize the amount of cutting and inspect the machining quality.The method saves the machining time,guarantees the correctness of NC program,and the overall machining efficiency is improved.The method lays a good theoretical and practical foundation for integration of the similar platform.

Improving tuberculosis case detection in underdeveloped multi-ethnic regions with high disease burden:a case study of integrated control program in China

Background:In the underdeveloped multi-ethnic regions of China,high tuberculosis(TB)burden and regional inequity in access to healthcare service increase the challenge of achieving the End TB goals.Among all the provinces,the highest TB burden is reported in Xinjiang,where ethnic minorities and older people have suffered most.However,current case-finding strategy is inadequate given the complex social determinants and suboptimal case detection rates.Thus,we developed an integrated TB control program to improve case detection and conducted a pilot in Xinjiang from 2014 to 2015.In this case study,we summarized the activities and key findings.We also shared the experiences and challenges of implementing interventions and provided recommendations to inform the TB control program in the future.Case presentation:The pilot interventions were implemented in one selected town in Yining based on local TB control programs.By applying tailor-made educational materials,outreach TB educational activities were conducted in diverse ways.In 22 Masjids,the trained imams promoted TB education to the Muslims,covering 20,440 persontimes in 88 delivered preaching sessions.In seven schools,1944 students were educated by the teachers and contributed to educating 6929 family members.In the village communities,13,073 residents participated in household education and screening.Among them,12,292 people aged under 65 years were investigated for suspicious pulmonary TB symptoms,where six TB patients were diagnosed out of 89 TB suspects;781 older people were mobilized for screening directly by chest X-ray,where 10 patients were diagnosed out of 692 participants.Supportive healthcare system,multi-sectoral cooperation and multi-channel financing mechanism were the successful experiences of implementation.The interventions were proved to be more effective than the previous performance:the number of TB suspects consulting doctors and patients detected increased by 50%and 26%,respectively.The potential challenges,implications and recommendations should been taken into account for further program improvement.Conclusions:In underdeveloped multi-ethnic regions with high TB burden,improving case detection is necessary and the interventions can be feasible and effective within a supportive system.More intensive educational and training approaches,a high index of TB suspicion and prioritization of older people in screening are recommended.To sustain and scale up the program,the impacts,cost-effectiveness,feasibility and acceptability of interventions warrant further research and evaluation in each specific context.

Soil organic carbon dynamics in Xilingol grassland of northern China induced by the Beijing-Tianjin Sand Source Control Program

To mitigate impacts of sandstorms on northern China, the Chinese government launched the Beijing- Tianjin Sand Source Control Program （BTSSCP） in 2000. The associated practices （i.e., cultivation, enclosure, and aerial seeding） were expected to greatly enhance grassland carbon sequestration. However, the BTSSCP-induced soil organic carbon （SOC） dynamics remain elusive at a regional level. Using the Xilingol League in Inner Mongolia for a case study, we examined the impacts from 2000 to 2006 of the BTSSCP on SOC stocks using the IPCC carbon budget inventory method. Results indicated that over all practices SOC storage increased by 1.7%, but there were large differences between practices. SOC increased most rapidly at the rate of 0.3 Mg C.ha-1 ＂yr-1 under cultivation, but decreased signifi- cantly under aerial seeding with moderate or heavy grazing （0.3 vs.0.6 Mg C-ha-I .yr-1）. SOC increases varied slightly for grassland types, ranging from 0.10 Mg C-ha-1 .yr-a for temperate desert steppe to 0.16 Mg C.ha-l.yr-1 for temperate meadow steppe and lowland meadow. The overall economic benefits of the SOC sink were estimated to be 4.0 million CNY. Aerial seeding with no grazing was found to be the most cost-effective practice. Finally, we indicated that at least 55.5 years （shortest for cultivation） were needed for the grasslands to reach their potential carbon stocks. Our findings highlight the importance and effectiveness of BTSSCP in promoting terrestrial carbon sequestration which may help mitigate climate change, and further stress the need for more attention to the effective- ness of specific practices.

Automatic test system development for digital beam position monitor of HEPS and BEPCII

Purpose Hundreds of digital beam position monitor processors(DBPM)are required to be produced during the construction of projects such as High Energy Photon Source(HEPS)and the upgrade project of the Beijing Electron Positron Collider(BEPCII),which brings great challenges to the test work.In order to achieve accurate,fast,and complete mass production tests of DBPMs,an automatic test system(ATS)has been developed in this article.Methods According to the test items of DBPM,the standardized testing softwareflow is designed based on virtual instru-ment program control technology and experimental physics and industrial control system(EPICS),which realize automatic adjustment of test parameters and automatic acquisition of test result data.Results and conclusions The ATS can realize one-button testing of channel coefficients,channel linearity,attenuator linearity,beam current dependence(BCD)and sampling signal-to-noise ratio(SNR),and generate test reports.The total test time is less than 3 minutes,which is significantly more efficient compared to manual testing.More than 90 BEPCII DBPMs has been tested by this ATS in the lab.The test results proved that such a system could automatically recognize defective products and satisfy the requirements of mass testing.

Original article Schistosomiasis in China： acute infections during 2005-2008

Background Significant progress has taken place over the past 50 years in the control of schistosomiasis japonica in China. However, the available data suggested that schistosomiasis has re-emerged shortly after the World Bank Loan Project which was conducted from 1992 to 2001. The national control program with a revised strategy to control schistosomiasis by using integrated measures has been implemented since 2005. In this study, we aimed to evaluate the effect of the national program on schistosomiasis control from 2005 to 2008.Methods A retrospective study was carried out to analyze the epidemic patterns of acute infections with Schistosoma japonicum （S. japonicum）, based on the number of acute cases annually collected from the web-based national communicable diseases reporting system from 2005 to 2008.Results A total of 564, 207, 83 and 57 acute cases infected with S. japonicum were reported nationwide in 2005, 2006, 2007 and 2008, respectively, with an average annual reduction rate of 46.35% during last four years. Six outbreaks of acute infection with S. japonicurn were reported in 2005 but none in the period of 2006 to 2008. All acute cases that were reported mainly came from the lake regions and became infected during the higher risk periods from the 27th to 43rd weeks of the year. Most of these cases are students （44.87%）, farmers （31.51 %） and fishermen （7.79%） who got the infection by water contact mainly through swimming （41.49%） and production activities （40.25%）. With time, the proportion of imported cases among all acute cases increased due to more frequent movement of people that has occurred with a more mobile population.Conclusions The national control program on schistosomiasis aliened with the revised control strategy has been effectively brought into effect. However, there is still a significant risk of infection among students, farmers and fishermen living in the lake regions. Therefore, it is important to strengthen control measures among risk populations in the high risk areas of transmission, or the lake regions.