Advanced Materials Research Vols. 383-390

Abstract: In this paper, we implement a real-time detection and automatic control design for AC-DC-AC converter based on XC878M microcontroller unit (MCU). By generating the sinusoidal pulse width modulation (SPWM) signal directly using the microcontroller, the hardware circuit is simplified and the power factor and efficiency of the system is greatly improved. Further, frequency conversion techniques are applied into our design. After the high frequency modulation and compressed the high frequency harmonics, the proposed design can produce high-quality voltage waveform, thereby decreasing the loss of the converter.

Abstract: In this paper, an error concealment algorithm for lost macroblock (MB), named motion consistence and textural coherence based error concealment algorithm (MCTC), is proposed to meet the requirement of video transmission over error-prone channels. A directional predicted motion vector (MV) set is setup by using the motion consistence between MV co-located in reference frame and the neighboring MVs of the lost MB. To find out an optimal MV from this candidate MV set, a textural coherence based boundary matching (TCBM) criterion is proposed. The experiment results show that the MCTC outperforms the state-of-the-art video error concealment methods in both objective and subjective visual quality.

Abstract: An intelligent behavior control system for an autonomous mobile robot operating in an unstructured environment with sensor uncertainties is proposed. This study focuses on implementing and improving the methodology from Motlagh et al. [7] on a two-wheeled P3DX mobile robot. Motlagh et al. verified their design with computer simulation. When applying it on a real robot platform, we noticed some problems and improved the design using sensor selection strategy, safe rule and target switching strategy. The proposed sensor fusion architecture introduces two additional sensors, a laser range finder on the robot and an omnidirectional CCD camera on the ceiling, to improve the reliability of the sensing capability of P3DX mobile robot. The target switching strategy is used to guide the robot out of a dead zone and reach the target by creating a virtual target. Results of the experiments with the U-shaped and subspace dead zones are presented. These results proved that the target switching strategy successfully dealt with the loop path problem in the dead zone.

Abstract: A lot of studies have been conducted and published on how to control the wheeled mobile robot to reach the desired target smoothly and many simulation results have been presented. However, very few of the control theorems have been applied on a real mobile robot platform to test the feasibility. This paper focuses on the experimental validation by applying the kinematic model and the control law suggested by Siegwart et al [6] on a nonholonomic wheeled mobile robot. The omni-directional camera mounted on ceiling is used to capture the initial position of robot and monitor the trajectory. Our experiment results proved with the proposed control law, the mobile robot can reach the final goal and stop.

Abstract: It is very hard for the traveling wave ultrasonic motor to start directly with high speed, because of their special running mechanism and the unique features. To solve this problem and realize the uitrasonic motor’s high-speed start control, speed controller with on-line self-tuning parameters is designed. Neural network is used to realize the online adjustment of controller’s parameters, to agree with the different starting request of different speed references, and make best use of motor’s ability. The experiments indicated that the motor start fast and accurately, the control algorithm is effective and reliable.

Abstract: Considering the increasingly tense relationship between construction land supply and demand, we study the inherent rules and the spatial evolution in construction land use. In order to solve the problem of parameter optimization effectively, we analysis the fundamental theory of Support Vector Machine and finally accomplish the combination of genetic algorithm and support vector machine. Meanwhile we apply this model to analysis the construction land use and propose a new model, which is based on the support vector machines with genetic algorithm, for construction land evolution. Taking Guandu district in Kunming, Yunnan as a case, we find out that the new model is far superior to recent models in terms of predicting accuracy, algorithm complexity and computational efficiency. And therefore, we believe that this is highly precise, practical and efficient model for forecasting construction land use and evolution.

Abstract: Based on the development status of hybrid electric vehicle(HEV) at home and abroad, combining the features of urban traffic and urban bus operation, the control strategy of hybrid buses powertrain is analyzed and researched. The whole performance of series hybrid electric bus(HEB) control scheme is simulated and analyzed using HEV simulation software ADVISOR. The result shows that the control strategy plays a positive role to improve automobile fuel economy.

Abstract: For achieving the management and monitoring platform of dynamic water rights based on grid technology, According to the theories of water rights, water market and the basic principles of software technology. Through the framework and structural analysis, hierarchical analysis and task analysis combining the rich program language, Constructing the thinking of system's portal and dispatch center. Achieve the platform's main functions of information management and user management. Solve effectively water rights information sharing and idle resources allocation and utilization of real-time problems. Increased information sharing and scientific configuration in the transfer of dynamic water rights. Provided a base platform for realizing information management of water rights and water markets.

Abstract: Time-resolved current and voltage measurements for an inductive automotive spark system were made. The measurements were made in air for a range of charge time from 1-8ms, at ambient temperatures. Primary current was measured, so the primary energy can be calculated. Current and voltage signal of secondary circuit was detected, from which the spark energy and energy transformation efficiency can be calculated. Test results show that: when the charge time is 6ms, both the primary energy and spark energy reaches to saturation value, does not advanced any more with the charge time increasing; and the energy transformation efficiency is at an appropriate range.

Abstract: In the garment manufacturing, the application of intelligent technology on one hand can get judgments and conclusions in the process on the basis of objective analysis just like artificial experts, on the other hand, it can solve more complex problem and seek optimal production planning and control method in certain production conditions. This positive quality forecast system can direct us to select optimal processing link, the most reasonable materials collection, and predict the effect.