Applied Mechanics and Materials Vols. 130-134

Abstract: A self-adaptive battery management system (BMS) based on CAN-bus for power Li-ion battery was designed in this paper. It is designed distributed and composed of sampling modules, a master module and some aid devices. The sampling module is used to sampling the voltage of the cells and the temperature in the pack. And it keeps the temperature in safe range by controlling the fans in the pack. The master module receives the information from the sampling modules, samples the current of the main road, estimates the state of charge (SOC), the state of health (SOH), controls the main road relays. The modules communicate with each other by CAN-bus. The fault and temperature management are performed adaptively. It is shown that this self-adaptive BMS extend the battery lifetime and guarantee safe operation. And the self-power consumption is very low.

Abstract: With the development of the electronic technology, people have proposed higher requirements for the service quality on elevator, and the optimal elevator dispatching has developed a typical multi-objective optimal process. This paper analyzes both the advantages and the disadvantages of artificial immune algorithm and gradient descent algorithm, optimizes artificial immune algorithm, then proposes a novel optimal hybrid algorithm; at the same time, uses this hybrid algorithm in the elevator group control system combined with Pareto solution set. Making a comparison between the hybrid algorithm and the standard artificial immune algorithm, it’s clear that this hybrid algorithm has certain feasibility and superiority, and to some extent, has improved the overall performance and service quality of the elevator group control system. This paper has provided a new method and a new thought on determination of the multi-objective weighted values in the elevator group control system.

Abstract: In order to improve the slow response and weak robustness of fuzzy control for machining process, combining qualitative knowledge expressiveness of fuzzy control with excellent local property of wavelet analysis and quantitative learning ability of neural network, a new kind of fuzzy wavelet neural network controller (FWNNC) is presented and a generalized entropy square error (GESE) function is also defined. The FWNNC is then applied to the on-line control of the cutting force under variable cutting conditions. Simulation results show that the proposed controller is superior to the fuzzy control or the neural network control for machining process and it has better static, dynamic performance. Experimental examples are also given to demonstrate the effectiveness of the proposed controller.

Abstract: The problem of persistent icing on high-voltage line is very serious and cause severe losses. In order to solve the high-voltage line freezing, an automatic anti-icing robot (AAR) of high-voltage transmission line is designed in a new way. In this article, the technologies of take power online (TPO), mechatronics and network group control (NGC) are used in the designs. The automatic anti-icing robot (AAR) can work continuously in all weather and be controlled in large scale. In addition, a de-icing tool is designed specially. In conclusion, the automatic anti-icing robot of high-voltage transmission line can effectively solve the freezing of the high voltage line and has a large value of reference and promotion.

Abstract: Dynamic deformation measurement of machine parts in fatigue strength test is studied by using machine vision technique. Considering the uncertainty of parts surface, we adopt circular mark to locate the object profile in order to obtain high quality images. Through some image pre-processing with linear filtering, continuous contour searching method and circular detection based on random Hough transform (RHT), the real-time deformation can be measured with image characteristic parameters. In the practical application, the deformation of the loaded bicycle handle-bar is calculated. The test results show that the machine vision measurement is very effective; measurement resolution attains 0.1mm/pixel; the discrete degree of measurement data is low and the system meets the requirement of real-time measurement. The study proves that the measurement method of dynamic deformation based on machine vision is feasible, which can give some help for fatigue strength test of machine part and other structure deformation.

Abstract: In order to monitor the deformation of the surface or dynamic adjustment and measurement, the real-time and on-line close range photogrammetry system is needed. Before camera calibration and 3D reconstruction, the targets in the images must be recognized and located automatically with high accuracy and speed firstly. This paper describes the automated image processing for the on-line photogrammetry system. Experimental results show that compared with the other measurement system, the accuracy of subpixel target centroid can reach to about 2% of the pixel size, while the process time of an image with 3008×2000 pixels is about 0.1S.

Abstract: In order to improve the speed and accuracy of the existing product, a new automated hemorheology analyzer is designed and implementation in this paper. In the new analyzer, the whole blood and plasma with different characteristics are tested by different systems, which work in parallel and independently. The design and implementation of the new hemorheology analyzer including hardware and software design are put forward. Experimental results show that the performance of the new instrument, such as efficiency and test speed are both improved in the new instrument.

Abstract: According to the importance of cutter radius compensation in CNC machining, the principle of cutter radius compensation was discussed and the application and development methods in real machining were proposed in this paper.

Abstract: Through investigating the issue of solving the TSP problem by discrete particle swarm optimization algorithm, this study finds a new discrete particle swarm optimization algorithm (NDPSO), which is easy to combine with other algorithm and has fast convergence and high accuracy, by introducing the thought of the greedy algorithm and GA algorithm and refining the discrete particle swarm optimization algorithm. And then the study expands NDPSO by Simulated Annealing algorithm and proposes a hybrid discrete particle swarm optimization algorithm (HDPSO). At last, the experiments prove that these two algorithms both have good convergence, but the HDPSO has a better capacity to find the best solution.

Abstract: The nonlinear effect in high speed differential phase shift keying (DPSK) optical transmission system is analyzed in this paper. The fine dispersion management can mitigates the system performance degrade induced by nonlinearity. The relationship between Q-factor and dispersion precompensation distance are discussed detailed, and an optimized dispersion precompensation distance where has a maximum Q value is reached through simulating the 40Gbit/s DPSK dispersion pre-compensation transmission system.