Advanced Materials Research Vols. 466-467

Abstract: This paper presents the design of integrated control for four-wheel steering (4WS) vehicle. A vehicle nonlinear dynamics model is built based on a lateral dynamics simplified linear model. A more accurate sideslip and yaw rate controller is used for lateral dynamics model of 4WS vehicle. Then a vehicle model based on the individual channel and partial decoupling design paradigm is identified from the vehicle dynamics. The sideslip and yaw rate controller is based on a linear multivariable combined with lateral dynamics model and the front and rear steering angles. The results of a stability analysis and simulations are presented to show that the 4WS integrated control system can markedly enhance good vehicle lateral maneuverability.

Abstract: The paper presents a new automatic detection system of DC traction motor commutator, which captures the image of traction motor commutator through CCD (Charge Couple Device) camera in real time, and recognizes the eigenvalue of commutator image by utilizing image processing technology. Meantime, the system takes it as the localization signal of numerical control machine. Therefore, computer vision controls cutting tool working instead of eyes in this system. The system has high-performance of precision and real time proved by experiment, so which has a certain value of practicality.

Abstract: Minutiae-based matching is the main method of fingerprint recognition. Anil K. Jain brought forward a method (FingerCode) which use Gabor filter to extract the texture feature of fingerprint and match it. In order to get a faster algorithm of fingerprint identification, the properties of the real part of Gabor filter are analyzed and the Gabor filter algorithm is accelerated in special conditions and is validated by experiment, which decreases the computational complexity from O(n2) to O(n).

Abstract: Swing movable teeth reducer is a new type of small teeth difference planetary gear reducer, which is used to transmit the rotary motion and power between two shafts with same axis. It is important to carry on the systematic design and performance simulation of the reducer and seek the optimization design of the products by the virtual prototyping. Based on the study of the principles and characteristics of the swing movable teeth transmission, this study established the virtual prototype and achieved the dynamical simulation of the reducer by CAD/CAE software. The rotate speed and force analysis proved the feasibility of the model.

Abstract: One of the common problems of chaos-based secure communication is all these methods need control signal be transmitted in public channel between connectors. Attacker can reconstruct the chaotic system or estimate parameters by using the information of the chaotic system which can be obtained by analyzing the control signal. Therefore we propose a hybrid chaotic synchronization control scheme which contains both continuous chaotic system with Special oscillating parameters and discrete chaotic system. The two systems can get synchronized without control signal transmitting which has reduced the risk of the security.

Abstract: Emerging green-energy cyber-physical systems (CPS), in particular electric-drive vehicles (PHEV, HEV, and EV), have demonstrated great potentials to significantly reduce greenhouse gas emissions and the ever-growing dependence on foreign oil. Few studies have focused on the user-specific driving behavior and its significant impact on electric-drive vehicles fuel efficiency, battery system life-cycle and the environment. This paper presents a personalized mobile sensing system development for the emerging green-energy CPS, which captures user’s run-time driving behavior and characterizes its impact on (P)HEV operations. The proposed sensing computing system has been deployed in a number of PHEVs and HEVs, with user studies of four different drivers and over 150 driving trips under various road and traffic conditions. Using the extracted real-world hybrid vehicle and user driving data, we have conducted detailed analytical studies of users’ specific driving patterns and their impacts on hybrid vehicle electric energy and fuel efficiency.

Abstract: A rapid R&D Process is produced in eddy current detection using hardware-in-loop simulation. Inspired by software and hardware concurrent exploitation method in software engineering, we explore a new top-down design method in Proteus environments. Data acquisition and data-out devices which can work in Proteus environments are designed, including the digital filter and coherent detection procedures for eddy current detection. By putting the spiral development of software engineering into the design process of the hardware projects, which uses Proteus as a system prototype development platform, unifies the gap between field experiment and the software simulation by using hardware-in- loop method and accelerates design schedule. In this way, rapid eddy current detection prototyping can be designed very soon, and it is useful for system-level devices design in eddy current detection. The practice proves that this method can greatly shorten the product development cycle and reduce development cost for system-level devices design in eddy current detection.

Abstract: Direction control is the decisive factors in intelligent car race. This paper used OV7620-CMOS as sensor, with steering gear as direction ac-tuators. Put forward intelligent car direction control model based on fuzzy PID algorithm. Experimental results show that fuzzy PID control algorithm is to improve the operation of the intelligent vehicle direction control response speed and the accuracy is very effective.

Abstract: For a fly control system of UAV, the author designs the hardware in the loop simulation system, formulates the construction and working theory of it, and introduces the formulation software. The results shows that, the system can supply the good simulation circumstance for this automatic pilot, save the cost and the time. Especially, it is of significance to evaluate the fly quality and accelerate the research progress of UAV.

Abstract: We present the new filters named iterated cubature Kalman filter (ICKF). The ICKF is implemented easily and involves the iterate process for fully exploiting the latest measurement in the measurement update so as to achieve the high accuracy of state estimation We apply the ICKF to state estimation for maneuver reentry vehicle. Simulation results indicate ICKF outperforms over the unscented Kalman filter and square root cubature Kalman filter in state estimation accuracy.