Advanced Materials Research Vols. 875-877

Abstract: This paper proposes a filtering control method of the gimbal rate-servo system in DGMSCMG based on strong tracking filter. Due to the low angle measurement accuracy of the angle measurement device, this signal processing technology can overcome the shortcoming as well as improve the robustness of the controlled plant to the environment disturbance and parameter change. Meanwhile, high accuracy of modeling is not required owing to the advantage of the strong tracking filter. The simulation results verify the effectiveness of the method.

Abstract: The development of truck crane is rapid, however, due to the constraint of working condition, the fault diagnosis and elimination are difficult. Pertaining to the electrical system of truck crane, the electrical system is analyzed. The electrical system is divided into four parts, including power supply system, startup system, ignition system and the whole-car circuit. The fault phenomenon is sorted and the causes of faults are analyzed. Then the detection and repairing methods of common faults are put forward, thereby save time consumption of maintenance, improve the maintenance efficiency and provide theoretical basis for actual maintaining operation.

Abstract: As an important foundational technology of the development of mechanical industry, the test technology plays a vital role in the assessment of product quality and performance. However, with the rapid development of technology, the rapid expansion of production scale and more and more revealed shortcomings of traditional mechanical engineering test means, it has been unable to meet the requirements of large-scale test. This article focuses on the test function demand of mechanical engineering objects and proposes a concept of independently selecting the hardware and software and modules and rapid reconfiguring to conduct control experiments, based on the analysis of control experimental platform needs, we determine the platform research and development program. And it describes the detailed design process in the respects of hardware and software related to the control platform.

Abstract: In Indian Transport System identification of faulty vehicle is a challenging task for the enforcing authority within a specified time. Faulty vehicles include hit and run accident vehicle, traffic violators, theft vehicles, escaping an accused in a vehicle and non-payment of tax vehicle etc. In the existing Intelligent Transport System (ITS), only the vehicles are being monitored, instead of catching the faulty vehicle. In this methodology, the vehicles are controlled by controlling the fuel mixture through Global Positioning System (GPS) and Electronic Control Unit (ECU) within stipulated time duration from the control room itself. To conclude, the prime objective of this work involves conducting an experiment to monitor as well as controlling the vehicle through GPS from the control room itself.

Abstract: Pseudo-random code fuze has strong anti-interference ability. The paper studies about the jamming effectiveness of noise amplitude modulation operating on pseudo-random code fuze. Firstly the operating principle of pseudo-random code fuze is introduced. Then we analysis the characteristic of the noise amplitude modulation signal, following that is the study on the pseudo-random code fuze responses at all levels under noise amplitude modulation signal jamming. Studies have shown that the value of pseudo-random code fuze correlator output will decrease linearly as noise power increases when the power of noise amplitude modulation is low, but tends to be constant when the power of noise amplitude modulation arrives at a certain level. So under noise amplitude modulation jamming, higher jamming power doesnt show the best performance, but there is an optimal value of jamming power.

Abstract: How to efficiently evaluate the dynamic and complex the sea-battlefield situation facing the reality of the problem is the operational decision support. According to research sea-battlefield situation assessment based on improved dynamic Bayesian networks. First constructed the sea-battlefield situation assessment Bayesian networks model; second specific assessment task to establish the corresponding dynamic Bayesian networks; again reintroduced extended hidden variables, supplemental situation information to construct improved dynamic Bayesian networks; finally, according to the battlefield event reasoning, complete sea-battlefield situation assessment.

Abstract: The Unmanned Underwater Vehicle (UUV) is used more and more widely in military and non-military areas. Since UUVs navigation and motion control system is highly complex, a Hardware-In-the-Loop Simulation (HILS) system is designed and implemented to help research and development of its navigation and motion control system. The HILS system is mainly composed of real-time simulation computer, main control compute, GPS/Beidou satellite signal simulator, three-axis turntable, actuator load simulator, water pressure simulator, acceleration simulation unit, visual computer and interface devices. Performance specifications are allocated to each components of the HILS system according to dynamic characteristics of the UUV under complicated disturbances. Proximity between the results of the UUVs HILS and sea trial demonstrates the validity of the HILS system elementarily.

Abstract: This paper designs a modular parallel mechanism for single-driven multi-legged robots. The mechanism achieves the goal to coordinate the lifting and swinging of all the legs with only one actuator and has good motion characteristics. The mechanism is not only easy to control, but also capable to optimize the trajectory of the robot legs by changing the structure size of the mechanism. This paper implements the trajectory simulation and dynamic simulation of the key points of the mechanism on the basis of the kinematics model, and the results show that the mechanism has a good trajectory and motion characteristics. The modular parallel mechanism is also applicable to those multi-legged robots such as quadruped robots and eight-legged robots, indicating that it has a good scalability.

Abstract: This study reports the application of an electronic nose for the identification and classification of red wines aged three different methods. The signals of the different wines detected by the 10 sensors present in the E-nose are significantly different from each other. The response to the signal generates a typical chemical fingerprint of the volatile compounds present in the wines. Principal Component Analysis can be applied for the dimensionality reduction of the collected signal. Since the total contribution rate of the first three principal components is up to 97.27%, different wines can be distinguished from each other by the three principal components. Euclidean distance, correlation analysis, Mahalanobis distance and linear discrimination analysis can offer 100% accuracy for known samples, and the accuracy rate can reach 88.9% for the 18 test samples. In addition, numerous advantages exist compared with sensory analysis in both authentication and quality control of wines.

Abstract: In this paper, by means of the method of mathematical analysis, a mechanical controlled system with time delay has been investigated. Some sufficient conditions have been provided to guarantee the oscillation of the system. Numerical simulation demonstrates the result.