Applied Mechanics and Materials Vols. 727-728

Abstract: This article describes a precisely microfluidic control system based on a dual-core STM32F10x microcontroller. The system consists of 32 independent microfluidic valve controlled output, human-computer interaction display, ethernet module, WIFI module, CAN module, USB module and graphical control interface. Using this microfluidic control system, the biological and medical workers precisely and conveniently control liquid in microfluidic chips. The microfluidic control system would be widely used for microfluidic chips.

Abstract: Hybrid technology is widely recognized as the most effective measure to reduce the fuel consumption in Load-Haul-Dump (LHD). Using a hybrid power system on LHD is proposed. This comprises an internal combustion engine and super capacitor. LHD has the characteristics of duty cycle. Based on the characteristics we get the hydraulic power demand,electric transmission power demand. We propose an energy control strategy to reasonably distribute power of hybrid energy sources. With the help of control strategy, super capacitor can be restricted to work in a pre-defined range of SOC characterized by higher efficiency region. We also analyze the super capacitor charging/discharging process. In order to realize the fuel economy fullest, we optimize the design parameter using the simulated annealing algorithm. The simulation results show that improvement in fuel economy was about 11.3% better than that of before the optimization.

Abstract: With the acceleration of smart grid construction, intelligent become the development direction of the automatic substation, primary equipment is an important part of intelligent smart grid, running for safe and reliable operation of the substation automation is significant. This article briefly describes a device in the form of intelligence, once analyzed the working principle of intelligent devices and describes the intelligent transformers, circuit breakers and other primary equipment implementation.

Abstract: A model for a mobile inspection robot is introduced. Based on human driving behavior, a fuzzy control method for mobile robot path tracking is proposed. Angular velocity controller is established by distance error and angle error. Angular velocity is controlled to implement path tracking of the wheeled mobile robot. Experimental results show that the effectiveness of the inspection robot controller is good and it is effective.

Abstract: The systems developed to automatize machines or industrial processes are applications of techniques or equipment in order to increase their efficiency, maximizing the production with the lowest consumption of energy and raw materials, reducing the emission of waste and aiming at improving safety conditions of materials, humans and process information. It can also simply be aimed at reducing the effort or human interference over a process or machine. One of the greatest difficulties in a project of an automated system is its specification. For that, the present study intends to model and develop an automated system applied to a packaging machine by thermal shrink, using the tools SA-RT, UML, IEC 61131-based rule system, supervisory system Elipse SCADA and the object-oriented programming.

Abstract: A variable value water resistor speed control system for rotor winding induction motor is introduced. On the basis of the structure about the water resistance and the governor principle, the steady-state mathematical model and the dynamic mathematical models are established. The effect of temperature changes on the resistance of the electrolyte solution is discussed, and temperature compensation is proposed. Simulation results show that the water resistance speed control system is feasible.

Abstract: There are some defects in the traditional over-running load hydraulic system, such as velocity control is poor and prone to velocity jitter, etc. In order to improve these weaknesses, the components and work principle of the separate meter in and separate meter out (SMISMO) were introduced and the actuator’s feature were analyzed , the simulation model of hydraulic studied system was built, the factors affecting the stability of the system are discussed in this paper. Simulation and experiment showed that the novel control system possessed higher velocity control precise and good stable characteristics.

Abstract: For vehicles in use, may be due to an engine misfire malfunction problem, a new and improved intelligent diagnosis method. The establishment of a volume fraction and fire fault automobile exhaust gases generated mapping between various reasons for data normalization processing for machine training, the trained models relevance vector machine used in failure analysis, classification diagnosis. The algorithm of the penalty factor and radial basis kernel function parameters on classification accuracy rate has a great impact, the use of super-particle swarm optimization parameters. Relevance vector machine model to optimize the trained and now mature neural networks and genetic algorithms support vector machine method were compared with experimental results show that the new method than the traditional methods have some improvement in diagnostic accuracy and robustness aspects .

Abstract: For the performance testing demands of roadheader hydraulic components, a hydraulic system of multi-interface and high-precision sensors is built and the signal acquisition and processing system based on PLC and data acquisition card high speed acquisition module is established. A software system based on LabWindows/CVI is developed. High precision, reliability, stable and functional test system is built by using precise sensor technology, electro-hydraulic proportional control technology and automation instrument technology, and then the pump and motor performance tests is completed. The system can simulate the actual working conditions of the pump and motor, making the test results more accurate and credible.

Abstract: Load with uncertain factors in time and space charge electric cars, electric vehicle charging mass disorder will lead to peak distribution network load exceeds the limit device allowed, and will bring the serious influence to power grid operation. By smoothing the distribution network daily load curve as the optimization objective, is established considering electric vehicle intelligent electric vehicle charging demand constraint of each user charge control strategy to solve the model, and use adaptive genetic algorithm to solve. Through the IEE33 node distribution network system as an example, the use of car grid Monte Carlo stochastic simulation scene based on the comparative study of the disorder, charging and intelligent charging two kinds of control mode, the influence factors of electric vehicle load on the distribution network, thus validating the use of the proposed method is effectiveness and reliability to achieve smooth load.