Applied Mechanics and Materials Vols. 347-350

Abstract: Sensor technology is rapidly developing and has penetrated into the field of sports. Give the specific application of sensor technology in some field of sports, working principle and characteristics of the various sensors. Point out sensor in sports engineering practices will be increasingly widespread and deepening.

Abstract: An important step in the development of dependable systems is the validation of their fault tolerance properties. Fault injection has been widely used for this purpose. This paper presents a simulator implemented fault injection and monitoring environment based on the QEMU platform, called BitVaSim, which is targeted for the embedded development boards equipped with PowerPC or ARM processor together with Built-In Test software operating environment.BitVaSim takes advantage of simulation and do no harm or irruption to either the real hardware or the software, in addition, all the simulated parts are reachable so that more fault modes are available to achieve.BitVaSim uses abstract key-value pairs to describe the functional fault modes, and then simulates the hardware board as while as realistic faults incurred by hardware into the simulator, in order to monitor the activation of the faults and their impact on the target system especially the BIT system behavior in detail. Fault injection interfaces are configured to implement failure mode matching and fault conditions triggering to inject faults on demand in simulator runtime.Faults injected by BitVaSim can affect any process running on the target system (including the kernel), and it is possible to inject faults in applications for which the source code is not available.Experimental results are presented to demonstrate the accuracy and potential of BitVaSim in the evaluation of the dependability properties of the complex computer systems and the BIT system.

Abstract: Based on the electro-hydraulic proportional system of a demolition robot working device, a simplified mathematical model was established by analyzing dynamic characteristics of the electro-hydraulic proportional valve, flow equation, the continuity equation and force equilibrium equations, and the fuzzy self-adaptive PID controller was designed to realize position control of working equipment. The simulations reveal that, compared with traditional PID, the fuzzy self-adaptive PID controller has these advantages such as smaller overshoot, good dynamic response and steady state performance.

Abstract: The theory of linguistic dynamic system (LDS) focuses on modeling, analysis, control and evaluation of complex systems at a linguistic level through computing with words. The concepts, frameworks and methods in conventional dynamic systems (CDS) are adopted in research of LDS. This paper is concerned about linguistic controller design of LDS upon cell mapping concept. In view of the studies of controller design for type-I and type-II LDS and optimal fuzzy controller design and tuning methods based on cell-to-cell mapping, two approaches to construct optimal linguistic controller for LDS using cell-to-cell mapping techniques are outlined in this paper.

Abstract: This design constructs the harmful gas detection and automatic control system for NH3 and H2S in the dairy, which based on the electronic nose and LabVIEW virtual instrument technology development platform. This control system tests the harmful gas concentration of NH3 and H2S through the semiconductor gas sensor MQ-137 and MQ-136; The NH3 and H2S concentration change into the corresponding signals through the A/D conversion chip, for the signal acquisition and processing; The system realize the functions of the harmful gas concentration of real-time data acquisition, display, storage, which used graphical programming language LabVIEW, and control the harmful gas concentration intelligently and automation. This control system has the advantages of high sensitivity, reliable work and the good effectAnimal husbandry is an important part of the agricultural economy, and the breeding industry of milk cows is an important part of animal husbandry, the dairy not only provide in a large number of high-quality milk products but also provide the community with a large number of employment opportunities, improving the living quality, promoting the social economic development. It has played an important role for social progress. [1] With the development of economy and the improvement of people's living standard, the demand of dairy products increasing promote the rapid development of the dairies. In recent years, the development of dairy industry is rapid, and the number of cows and milk products is total in the world, and industry development direction change into the scale, intensive and professional barn feeding level. But it also appeared some problems. As is known to all, the modern animal husbandry production of four elements is variety, feed nutrition, environment management and disease prevention, the importance of livestock environment also gradually cause the attention of the authorities. These are two reasons, one is that the environment pollution by the cows excrement is more serious, becoming a new pollution source. If these excrement is not managed properly, it will affect the sustainable development of the breeding industry of milk cows, even threat to the human’s health; The other is that a lot of peculiar smell harmful gas is produced by these waste, such as NH3,H2S. These will hazard the cow health. Dairy environment control is the key measures which should be meet the cow the best growth needs and improve the production level. Good control of the dairy is the guarantee to improve the environment dairy production capacity, get higher economic benefits and environmental benefits. Therefore, the harmful gas concentration is controlled effectively of the dairy, it is important significance for the growth of cows and milk production, give full play to its production potential and achieve high yield, high efficiency. [2] This paper used electronic nose, LabVIEW and single-chip microcomputer technology, it design the dairy harmful gas effective control system, realized the dairy real-time data acquisition and automatic control, improve the work efficiency and reliability.

Abstract: The paper elaborates Expert_PID controller applied in servo system. Illustrates an S-function construction method on complex control law. Designs an Expert_PID controller based on MATLAB/S-function and writes partial core code of Expert_PID controller. Establishes the simulink model of servo system based on Expert_PID control law, gets the simulation result. Compared with the traditional discrete PID control law, the result demonstrates that Expert_PID controller can obtain excellent control qulity.

Abstract: In the paper the principle and performances of the pulsating current injection based sensorless control of permanent magnet synchronous motor (PMSM) are analyzed theoretically and investigated by simulations. In the analyses, the effects of the speed EMF terms and the deviation between the actual d-axis high-frequency current and the command, which results from the limited gain and bandwidth of the current control loop, are all taken into account. It is shown that the pulsating current injection method can achieve stable position estimation in a wide speed range. But appreciable position errors will result at high speeds due to the cross-coupling effects of the speed EMFs and the tracking error between the actual and command carrier current. In order to improve the performance, a modified scheme is proposed. Its validity is confirmed by simulations.

Abstract: The paper brings forward a hierarchical fuzzy-neural multi-model with recurrent neural procedural consequent par for systems identification, states estimation and adaptive control of complex nonlinear plants. The parameters and states of the local recurrent neural network models are used for a local direct and indirect adaptive trajectory tracking control systems design. The designed local control laws are coordinated by a fuzzy rule-based control system. The upper level defuzzyfication is performed by a recurrent neural network. The applicability of the proposed intelligent control system is confirmed by simulation examples and by a DC-motor identification and control experimental results. Two main cases of a reference and plant output fuzzyfication are considereda two membership functions without overlapping and a three membership functions with overlapping. In both cases a good convergent results are obtained.

Abstract: In the power plant reheat steam temperature control system with large time delay, large inertia and dynamic variation of uncertainty, a new nonlinear predictive controller is proposed which combines neural network identification, chaos optimization algorithm (COA) and the concept of predictive contro1. The controller utilizes neural network as predictive model and COA as online optimization. It can avoid calculating the complicated gradient and the inverse matrix in the nonlinear predictive control. The simulation studies show the effective performance of the proposed controller.

Abstract: One monitoring Terminal system based on STM32 is introduced in this paper. The system used STM32 as core controller, GPIO and USART as control and communication channel. GPS, GPRS, wired transmission and power section together makes up the system motherboard. The design has been tested and been applied in geology disaster monitoring. Results show that it is adapted to the harsh environment outdoors and long term working conditions.