Advanced Materials Research Vols. 383-390

Abstract: A 3D model coupled with the Volume of Fluid (VOF) method of water-air two-phase flow is applied, and the roughness of walls is considered. The water-air two-phase flow simulation of the covered culvert is carried out while Jinan section of first-phase in east line of south-to-north water diversion project is taken as a case. The flow field of inverted siphon is discussed. The flow of inlet and outlet transition sections is gentle; the velocity distribution is nonuniform and the pressure distribution shows layered on current cross section. The water depth along the channel is downward.

Abstract: In order to meet the real-time demand of neural network control system, the structure and algorithm of self-tuning PID control system based on recurrent generalized congruence neural network(RGCNN) with fast convergence are presented, in which the improved recurrent generalized congruence neural network is adopted for identifier, and the single generalized congruence neuron with three inputs is used as controller. The simulation results of nonlinear dynamical control system show that the proposed RGCNN control system responses quickly and is stable, i.e., the proposed control system based on RGCNN is effective and feasible.

Abstract: The industrial automation control technology is comprehensive technology, mainly including industrial automation hardware, software and systems which reaches inspect, control and optimization, scheduling, management and decision-making, and increases yield and improve quality, reduce cost, to ensure safety. Industrial automation control technology as the most important technology in modern manufacturing in 20th century, which mainly solve the problem of production efficiency and consistency. Although automation system itself is not directly creating benefit of enterprise production, but it has obvious effect of ascension process. Our industrial automation control development road, mostly in the introduction of complete sets of equipment, and at the same time the digestion and absorption of second development and application. Currently our industrial automation control technology, industry and applications have developed greatly in industrial computer system, has been formed. At present, industrial automation control technology is intelligent, network integration and development direction

Abstract: This paper presents the principle and application of a class of cascaded optimal control allocation approach for overactuated aircraft. The design is based on mixed optimized targets consisting of two parts: the tracking error of virtual control and the effectors’ error related to the preferred control vector. At each step, the unconstrained least square problem is solved through simple calculation to obtain the optimal solution. If any optimal commands exceed the position limit or rate limit, a scheme is designed to choose at most one effector set to its limit and the remaining virtual controls are redistributed among other unsaturated control effectors. The Simulation based on the ADMIRE model shows that the effectiveness of the proposed approach comparing with Cascaded Generalized Inverse and Fixed-Point Method.

Abstract: Most of the existing elevator door driven by rotary motors, this paper used to design the permanent magnet linear synchronous motor as the Drive Fixed Motor, the door can eliminate the need of drive mechanism between the motor and the door, direct drive door in a straight line, improve reliability and security of the door machine. Through experimental analysis, the design uses DSP and Intelligent Power Module (IPM) combination of control system for elevator door operation by setting curve and stable operation.

Abstract: Traditional text-based image retrieval methods are hard to meet the requirements of on-line product search. This paper applied Content Based Image Retrieval (CBIR) technologies to e-commerce field and designed a product image retrieval algorithm based on Pyramid Histograms of Orientated Gradients (PHOG) descriptor and chi-square distance. By constructing the image retrieval system, we made retrieval tests on PI100 dataset from Microsoft Research Asia. The experimental results proved the efficiency of this algorithm.

Abstract: This paper attempts to summarize the findings of a large number of research papers concerning the application of intelligent optimization algorithms to ITS. A brief introduction to intelligence is included, for the benefit of readers unfamiliar with the techniques. Then it put emphasis on three kinds of intelligent optimization application in ITS, including ANN, GA and PSO. It should be noted first that each of the three subjects can prolong to a long paper, and second that there are also some other intelligent optimization method, such as fuzzy logic, ant colony, shuffle frog-leaping algorithm et.al.. On the constraint of time and paper volume, we only analyzed those three algorithms, their state-and-the-art use in ITS, and their future development trend.

Abstract: To solve the horizontal speed of shear blade demanded strictly maintain synchronous speed with plank in shear zone, a feedforward compensation controller including sliding mode controller is proposed as the velocity controller to improve the system performance, which has the merit of the small chattering and good robustness. The simulation shows that this method improve dynamics and robustness of system effectively despite of load abrupt change and system parameter change.

Abstract: The pure electric vehicles (PEV) research is mainly focus on regenerative braking. How to improve the efficiency of battery power utilization and increase vehicles’ driving range is a crucial problem. Based on the analysis of braking feeling, super capacitor characteristics and the efficiency of regenerative braking energy recovery, the control strategy of regenerative braking system is firstly established, which has two objective functions. One is to control the regenerative braking force. The other is to improve the recovery efficiency of regenerative braking energy. Then, the main operating mode of regenerative braking system is presented. On this basis, regenerative braking controller that is based on DC-DC controller is designed and implemented in simulink software. The results show that the regenerative braking control strategy can effectively control the regenerative braking force during braking and increase driving range of electric vehicles

Abstract: According to the characteristics of shearer working environment and cutting work, on the base of analyze the working principle of shearer working, use the expert system theory to achieve cutting path planning. Used rule-based knowledge representation, adopted PROLOG language to compile the path planning network, knowledge acquisition used the design method based on rule skeleton and rule body and generated shearer cutting path planning knowledge base, through modifying the internal predicates can be easily achieved the knowledge base modify, storage and maintenance. Experimented in the model of MG900/2210 electrical haulage shearer 1:6 prototype, the experimental results showed that the cutting path planning can effectively improve the working reliability of shearer, by combining with human-machine interaction and remote path correction to solve the problem which can’t be solved through memory cutting and drum automatic adjustment height.