Research On Onbord Dynamic Navigation And Solar Power Supply System

With the ever-increasing of urban vehicles, many countries in the world pay more and more attention to the traffic jam problems in urban areas. In order to solve the traffic issue, the research of onboard dynamic navigation information terminal has been a quite hot research topic. The onboard intelligent dynamic navigation information terminal with the solar power supply is taken as the research object in this dissertation, in which the key technologies about power supply system with the solar battery and onboard dynamic navigation terminal based on central navigation system are studied. The content of this dissertation involve many disciplines, such as servo control, power electronics, wireless communication, artificial intelligence, geographical information system, and database management technology, etc.The main contribution is described as follows:(1) The concept of dynamic navigation information system is introduced. And the development and research status of onboard power supply servo system at home and abroad are presented systematically.(2) Based on the discuss of basic principle, system structure and main functions of the onboard dynamic navigation system, many key technologies are analyzed, and the communication protocol between the onboard navigation terminal and navigation server is designed, which satisfies the requirement of interchange and inter-operation according to the NTCIP.(3) A FCD-based traffic speed estimation algorithm is implemented for the large-scale traffic information collection in urban road network, which provides data source for dynamic navigation. A modified arc-based Dijkstra route searching algorithm is proposed, in which a prior knowledge and the restricted traffic information of the road network are represented by the arc relation structure so that the searching efficiency and accuracy are improved.(4) Neural network and fuzzy theory applied in the control of PMSM servo system are studied. Several control strategy such as direct control by neural network model, predictive control by neural network model, and fuzzy-PI control of PMSM servo system are discussed respectively. In addition, the PMSM controller model is built in Matlab/Simulink.(5) A simulation model of PMSM fuzzy-PI controller is developed after discussing the structure and executive method of PMSM servo system of the onboard dynamic navigation intelligent terminal with the power supply of solar battery. Based on the self-adaptive connect-weight value theory, the control weight of PI and fuzzy controller are modified. The PMSM controller is designed in software and hardware architecture and related tests are also carried out.The experimental results show that the proposed methods of the PMSM servo system is effective and reliable, which can meet the power requirement of onboard dynamic navigation terminal. The collection method of central traffic information on dynamic navigation, and the route searching algorithm satisfy the need of actual ITS application. These methods provide theoretical foundation and good reference for application and popularity of onboard dynamic navigation system with the power supply of solar battery in the future.