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Research on Key Techniques of Motion Control System for Electric Vehicles

Author: MaPeng
Tutor: FuWeiPing
School: Xi'an University of Technology
Course: Mechanical and Electronic Engineering
Keywords: Electric vehicles Motion Control Digital Signal Processor Deadbeat control
CLC: U469.72
Type: Master's thesis
Year: 2008
Downloads: 244
Quote: 2
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Abstract


Finance a number of high-tech in one of the electric vehicles with no emissions pollution, low noise advantages, has unparalleled advantages in terms of environmental protection and energy saving, is leading to a revolution in the world auto industry. However, electric vehicles running economy, reliability and security of its own motion control system performance but has a very high demand. For the actual problem and background, combined with the specific operating conditions and environmental characteristics of the electric vehicles, this thesis studied a their effective motion control theory, and concentrated to explore this method in several key project implementation technology. The main work, results and conclusions are: analysis of the composition and operational characteristics of the electric vehicle movement system, the establishment of a kinematic model of the electric vehicle systems to study the basic theory of motion control; successful design combined with the current field of automatic control a DSP-based motion control system of electric vehicles. The motion system of the electric vehicle information detecting method and technical implementation means; designed hardware detection system for an electric vehicle motion control system as the core digital signal processor (Digital Signal Processor, DSP), the preparation of the related software detection algorithm Experimental results show that reasonable program of the hardware detection system, can be completed effectively detect the motion system of the electric vehicle; from the detection principle, AC sampling method and hardware implementations and other aspects, error detection system, an analysis of the main error causes and the order of size; targeted hardware frequency measurement and combination of software correction method to achieve synchronous sampling purposes cumulative incremental method to dynamically optimize the sampling period corresponding improved method to reduce or correct the error by deviation to improve the detection accuracy of the system. The electric vehicle motion control strategy and technical means of achieving. Fast Geometric discriminant points of reference voltage vector in which the sector method in the implementation of the drive motor vector control, given the duration of action of switching vector simplify the calculation formula and zero vector arrangements sequence; engineering practice, combined with the success of CPLD technology The design of the control system hardware implementations simplify the hardware implementation of tools and control algorithms, and the preparation of related software algorithms. A indirect detection method of the electric vehicle drive motor output torque of the electric parameters, experimental results show that: the method of high accuracy, good stability, free from the site mechanical vibration process noise. A detailed analysis of the theory with the concrete implementation of the program; deadbeat control method and analysis of several important parameters in the design of electric vehicle drive main circuit computing problems, such as power switching device selection. Methods and technical means of the vehicle motion control system verification shows that this study electric vehicle motion control method is valid and works to achieve key technical and practical, feasible.

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CLC: > Transportation > Road transport > Automotive Engineering > A variety of automotive > Various energy vehicles > Electric vehicles
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