Advanced Materials Research Vols. 765-767

Abstract: in this paper, false nearest adjacent points method will be used for error compensation of heating furnace in device for standard gas with trace water preparation. In different temperature difference between environment and heating furnace, phase space of nonlinear time series for temperature will be reconstructed, which can improve the sensitivity of the input data for NN and simplify the measurement model. Then nonlinear regression will be completed by RBF NN. So the temperature measurement model of heating furnace will be obtained. Experiment proves that the measurement error in this method is reduced greatly, also the influence of environment temperature is reduced. By the contrast experiment, the good performance of the FNN-RBFNN is verified.

Abstract: Switching converters and photovoltaic panels are nonlinear models, but existing PV inverter control methods are mostly based on the linearization control methods. The traditional linear methods are often difficult to eliminate static errors and the dynamic responses are not very satisfactory. In this paper, on the basis of nonlinear methods to control the switching converter, a mathematical model of discrete rotating coordinate system is given and an inverse optimal control method for single-phase grid-connected inverter control is proposed at the same time. This method achieved independent power control purposes due to implementing active and reactive power decomposition; and it is easier to use a microcontroller digital implementation for the discrete method. Simulation results show that this method can eliminate the static errors, and have a good dynamic response.

Abstract: Three degrees of freedom servo system (TDFSS) is one of the key equipments of inertial testing, such as evaluation of inertial navigation system and test of inertial components. It is a kind of servo system with some non-linearity and uncertainty. This thesis takes advantage of the characteristic of Neural network in approaching non-linear function, applies the Neural network on the three-axis simulator, provides a method for the TDFSS. Simulating experiment has been used to verify the advantage of the scheme and achieved completely decoupling control. The scheme gives good control precision, and it is simply structured and easily implemented.Introduction

Abstract: This paper studies the overload control problem of the Parlay gateway in next-generation electric power communication network. First, this paper analyses the effectiveness and fairness of the overload control of the Parlay gateway. And then taking the energy efficiency of the electric power communication network as target, we establish the optimization model of energy efficiency overload control. Thirdly, we put forward an energy efficiency overload control algorithm based on the ant colony algorithm. Simulation results show that our algorithm is feasible and effective.

Abstract: A scheme for measurement and control system on grain situation is presented in this paper. This system is mainly composed of sensor network, measurement and control extension, communication host and host computer. Measurement and control extension centres on microcontroller C8051 to accomplish the measurement of grain temperature and humidity in granary. Instruction is transferred to measurement and control extension by communication host, at the same time, transferring the data measured by extension to host computer. Host computer achieves the regimentation of whole system by applying PC. Compared with traditional ones, this measurement system is much more simple, low-cost, efficient and responsive, with profoundly immediate significance and wide prospect.

Abstract: Neural network generalized inverse (NNGI) can realize two-motor synchronous decoupling control, but traditional neural network (NN) exists many shortcomings, Regular extreme learning machine (RELM) has fast learning and good generalization ability, which is an ideal approach to approximate inverse system. But it is difficult to accurately give the reasonable number of hidden neurons. Improved incremental RELM(IIRELM) is prospected on the basis of analyzing RELM learning algorithm, which can automatically determine optimal network structure through gradually adding new hidden-layer neurons, and prediction model based on IIRELM is applied in two-motor closed-loop control based on NNGI, the decoupling control between velocity and tension is realized. The experimental results proved that the system has excellent performance.

Abstract: The term usage control (UCON)^[1] is a generalization of access control to cover obligations, conditions, continuity (ongoing controls) and mutability. Traditionally, access control has dealt only with authorization decisions on a subject's access to target resources, and as a consequence of access have not been systematically studied. In this paper we motivate the need for usage control, study a family of ABC models as a core model for usage control and show how it encompasses traditional access control, such as mandatory, discretionary and role-based access control,. In addition, we also discuss architectures that introduce a new reference monitor for usage control and some variations.

Abstract: The fins are the basic components of the plate-fin heat exchanger. And fins-former is the special device to produce heat-exchanger. In this paper, some fins-former is used as research subjects, and Mitsubishis FX2N Series 32MT high-performance small programmable controller (PLC) is chosen as the main control unit to design the control system of its nesting cutting device. Then the control program is prepared. AC servo is used in the motion control system and finally the automation and control of the nesting cutting process is realized. It provides a useful method and reference for the automation control and transform of the fins-former.

Abstract: The complete stress-strain curve of rock is obtained mostly by the rock mechanics tester. So the rock mechanic tester is quite important in industry. It provides the scientific data for engineering design and construction. But the material of rock is made of special complex natural structure. It is very hard to obtain the complete and true performance data of rock by the common material tester which causes rock broken easily. The main cause lies on the slow response of control system, the bad performance and rigidity. In order to solve the question, this paper studies the rock mechanics tester intelligent control by computer electro-hydraulic servo device by means of computer technologies, electromechanical integration technologies and hydraulic technologies.The main work of this paper is about the modeling and simulation, mechanics of materials testing machine intelligent control to lay the foundation for further study.

Abstract: Material experiment system of hydraulic servo system is subject to load disturbance and load disturbance is a function of standard mechanical parameters of rock samples. Rock mass is very discrete, anisotropy, composition is not single and inelastic^[. Traditional tester can't get the complete stress-strain curve of rock^[ material, in order to solve the shortage of the traditional hydraulic servo system, in this paper, the fuzzy PID control is successfully applied to the hydraulic servo system, through the experiments and get good effect.