Advanced Materials Research
Vols. 602-604
Vols. 602-604
Advanced Materials Research
Vol. 601
Vol. 601
Advanced Materials Research
Vol. 600
Vol. 600
Advanced Materials Research
Vol. 599
Vol. 599
Advanced Materials Research
Vol. 598
Vol. 598
Advanced Materials Research
Vols. 594-597
Vols. 594-597
Advanced Materials Research
Vols. 591-593
Vols. 591-593
Advanced Materials Research
Vol. 590
Vol. 590
Advanced Materials Research
Vols. 588-589
Vols. 588-589
Advanced Materials Research
Vol. 587
Vol. 587
Advanced Materials Research
Vol. 586
Vol. 586
Advanced Materials Research
Vol. 585
Vol. 585
Advanced Materials Research
Vol. 584
Vol. 584
Advanced Materials Research Vols. 591-593
Paper Title Page
Abstract: In connection with the problems that the automobile passive stabilizer bar can’t reflect the road conditions in real time and it is difficult to simultaneously meet the requirements of ride comfort and manipulation stability, this paper describes a kind of control system and test platform of the automobile automatic stabilizer bar. The control system uses speed sensor, steering angle sensor, roll angle sensor, lateral acceleration sensor and displacement sensor to simulate a variety of vehicle’s real driving conditions in the laboratory environment. According to the formulated control strategy, the microcontroller will send different instructions to make the executive mechanism act reasonably and in time. Then the test platform is established in the laboratory environment by the method of semi-physical simulation. The system can be designed according to the different needs of the vehicle and ensures the vehicle’s safety and comfort to the maximum.
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Abstract: It is provided that when a machine has some thin-walled monolithic structure parts, It can improve equipment stiffness, reduce the weight of the equipment, greatly reducing equipment parts number. But, the casting property of the thin-walled monolithic structure parts are very bad, at the same time, those parts may have a warp in machining processes. So, to a thin-walled monolithic structure part of an important machine, nondestructive inspection should be carried out before assembly. The machine typically was designed to detect if a plate part has some imperfections. The machine includes control system built with SIEMENS CPU224 programmable logic controller (PLC), hydraulic driving system and the ultrasonic detection, etc. The prototype built can detect a key part before assembled, which is used in military, high pressure vessel and huge bridge.
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Abstract: The convergence performance of distributed consensus algorithm with adaptive quantization communication depends on the convergence rate of the distributed consensus algorithm. In order to improve the convergence performance of distributed consensus under adaptive quantization communication, based on the one-bit adaptive quantization scheme, we propose the high-order distributed consensus to update the state of every node. We analyze the convergence performance and calculate the mean square error of the high-order distributed consensus algorithm with one-bit adaptive quantization. The high-order distributed consensus with one-bit adaptive quantization achieves a consensus in a mean square sense. Simultaneously, Simulations are done about the high-order distributed consensus based on one-bit adaptive quantization. Results show that the high-order distributed consensus algorithm based on one-bit adaptive quantization can reach an average consensus, and its convergence rate is higher than those of the first-order adaptive quantized distributed consensus algorithm and second-order adaptive quantized distributed consensus algorithm.
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Abstract: Fieldbus technology was one of the hottest development of today’s control area, It promoted fast development of modern enterprise network technology, brought new vitality and effectiveness to enterprises, therefore it had been widely used. The characteristics of Lons fieldbus technology were briefly introduced. The application of LonWorks technology in the field of intelligent illumination system was studied. The whole scheme of the intelligent illumination system and the hardware circuit for Lonworks intelligent node were designed and described in details. NodeBuilder software which was developed by Echelone company was used to design language for the LonWorks intelligent node. Through the LonWorks network communication, realized the functions of data transmission, memory and real-time monitoring, fast diagnosis and so on, it was an intelligent and highly effective system in automatic monitor. This intelligent illumination system achieved many functions, such as illumination auto adjusting, body detecting and remote monitoring. The system had better real-time performance and validity.
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Abstract: A new energy-saving method of variable frequency and constant pressure water supply system based on fuzzy control theory and software control technique is presented in this paper. Firstly, collecting the pipe network pressure periodically through the pressure sensor, the differential pressure signal will be sent into fuzzy controller after comparing the pipe network pressure with the set pressure. Then send a precise control quantity into the PID regulator to control output frequency of the frequency converter after a series of fuzzy arithmetic and solution of fuzzy arithmetic, so as to achieve the purpose of pump speed and consumed power controlling. The operating principle of variable frequency and constant pressure water supply system and the design procedures of software programming are elaborated. Practical application shows that the variable frequency and constant pressure water supply system based on fuzzy control has good effect on energy saving and obvious economic benefits and is worth popularizing and applying.
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Abstract: The values of parameters of support vector machine have close contact with its forecast accuracy. In order to accurately forecast power short-term load,we presented a power short-term load forecasting method based on quantum-behaved particle swarm optimization and support vector machine.First,cauchy distribution was used to improve the quantum particle swarm algorithm.Secondly,the improved quantum particle swarm optimization algorithm was used to optimize the parameter of support vector machine.Finally, the support vector machine was used for power short-term load forecasting. In the proposed method such factors impacting loads as meteorology,weather and date types are comprehensively considered. The experimental results show that the root-mean-square relative error of the proposed method is only 1.90%, which is less than those of SVM and PSO-SVM model by 2.29% and 2.80%, respectively.
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Abstract: This paper investigates the optimal control of multi-joint manipulator from the view of Riemannian geometry. We construct Riemannian manifold equipped with kinetic energy metric about configuration space, and regard constraints work space as submersion submanifold. We define the covariant forms for velocity and acceleration on Riemannian manifold, which make all expressions be independent of the choice of the coordinate systems, and research the relationship between the Euler equation and the geodesic equation, and show the property of preserving energy along geodesic paths. We investigate the hybrid position and force control under constraints, and analyze the corresponding stability based on Lyapunov’s method.
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Abstract: construct an improved water demand prediction model for support vector machine (SVM) on the basis of principle components analysis (PCA) in order to improve the accuracy of water demand prediction and prediction efficiency. Analyze the principal components of all the index factors which affect water demand; eliminate redundant information between the indices, thus to reduce SVM input dimensions; besides, it also introduces genetic algorithm, solved the problem that the traditional SUV parameters cannot optimized dynamically. A simulated experiment proves that the predication accuracy of this model is higher than SVM, BP neural network; this model has higher generalization ability and is an effective model for predicting water demand.
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Abstract: Network node designs of hardware system and software system based on in-vehicle FlexRay Bus were put forward. Structure and theory of node’s MCU, communication controller and Bus drive were analyzed. The simplest system of FlexRay Bus node was structured, and main files program, clock program, interruption program, and FlexRay Bus communication program were configured. The operation status of FlexRay Bus protocol was analyzed, and programs of receiving and transmitting data were designed. The experimental system based on MC9S12XF512 was established, and in development environment of CodeWarrior IDE, FlexRay Bus networks nodes communication was accomplished based on TDMA and FTDMA mechanism.
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Abstract: In this paper, a new numerical control system for machining tool is introduced. The system hardware’s basis is ARM9 microprocessor. It can control four step-servo motors or servo-actuators and realize any three motors motion simultaneously. The system is a multifunction. To realize this, the software is important. The system’s software analyzes the keyboard response, translates the CNC code, receive the CNC code from other computer or keyboard. It gives the interpolation values made the system realize circle or straight line movement. In the management of software, the system can realize multifunction tasks
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