Font Size: a A A

Key Technique Study And Equipment Integration Of100%Low Floor Light Rail Vehicle

Posted on:2014-09-30Degree:DoctorType:Dissertation
Country:ChinaCandidate:M H ZhaoFull Text:PDF
GTID:1262330401471001Subject:Carrier Engineering
Abstract/Summary:PDF Full Text Request
Based on the first100%low-floor light rail vehicle developed in China with completely independent intellectual property rights, the paper study lightweight bodywork, dynamic performance, independent wheel mountnetwork-based fault diagnosis, based on the new computer system, traction control and other key point in-depth theoretical analysis. We carry out the following research:According to the characteristics of the low-floor vehicles, this paper used modular technique and aluminum alloy design, to realize modular design of the lightweight vehicle with five modules with2tons less weight. With the ANSYS software modeling and finite element strength aluminum alloy body, the analysis showed that the developed plate girder structure aluminum alloy body, fully meet the vehicle weight reduction and overall strength requirements.Due to the lack of traditional mechanical coupling of independent wheel set low-floor vehicles, the phenomenon of both sides rub round is more likely to occur. This paper analyses the shortage of traditional antislip strategy and put forward an improved adhesion use of control method based on full-order observer.We experiment many times in the working condition,and prove the method we put forward can quickly find out the adhesion peak point of the current road condition.Thus it realizes the highly adhesion availability of traction drive system for100%Low-floor Vehicles.Based on the need of the network for100%Low-floor vehicles, the study analyses the feasibility of using CANopen bus as the network of100%Low-floor Vehicles from the aspect of Open Systems Interconnection (OSI) multiple model,and show the optimization rule of data transmission rate based on scheduling; Relying on the CANopen network DDE,we develop the100%Low-floor Vehicles fault diagnosis method based on the Event Systems (ES) reasoning, data characteristic layer and decision level fusion; Combining network transmission and fault diagnosis,we develop the dynamic maintenance method for the100%Low-floor Vehicles rely on the Multi-agent system (MAS) acting system architecture documentation; We give the dynamic determining method of maintenance object components based on the Colored Petri Nets (CPN) model and give the degree of confidence in the maintaining process.According to the need of the network for100%Low-floor vehicles, the study puts forward a double DSP+FPGA system architecture mode, and gives full play to the advantages of digital signal processing and parallel processing with DSP and FPGA; Also, we come up with a task management method combined with priorty and dispatching cycle based on hierarchical control to design software, by this way,we can provide a thorough solution to realize high-quality draft control. Based on the hardware, this paper puts forward a multi-mode Pulse Width Modulation (PWM) strategy combined with asynchronous Space Vector Modulation (SVM), synchronization SVM, optimize synchronization Selected Harmonic Elimination PWM (SHEPWM) and square wave. We also combined vector control and scalar control mode to achieve high traction performance with full speed range.In the study, through in-depth study of key technologies and key equipment integration, we achieved a fully independent innovation. By developing a traction system and a kind of network monitoring with fault diagnosis software.Though energy-saving traction transmission test system on ground and many experiments. At the moment,the100%Low-floor vehicles equipped the traction drive system in the study have finished all the type tests and operated more than5000kilometers on the formal operating lines. The waveforms and data prove the feasibility, reliability, and applicability of the key control technique and equipment.
Keywords/Search Tags:low-floor vehicle, lightweight body, adhesion control, networkmonitoring, traction control
PDF Full Text Request
Related items