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Intelligent Vehicle Control System Based On Electromagnetic Navigation

Posted on:2015-06-12Degree:MasterType:Thesis
Country:ChinaCandidate:H HuangFull Text:PDF
GTID:2272330422978061Subject:Power electronics and electric drive
Abstract/Summary:PDF Full Text Request
With the rapid development of science and technology in recent years, theinfluence of the smart car competition is further expanding. It is a cross-cutting andmulti-discipline integration of high-tech complex, it has broad application prospectsand practical significance in the field of automotive electronics. On the backgroundof it, in order to achieve high-speed smart car tracing functionality, the design of anelectromagnetic smart car navigation was proposed, and a complete and reliablehardware and software design was elaborated detailed.In this paper, the hardware design of intelligent vehicle steering system wasmainly controlled by the main controller module, electromagnetic detection module,the servo module, power module, speed detection module, the starting line detectionmodules. Freescale16-bit micro controller MC9S128as the core control unit wasused in the system, and each module hardware circuits was self-shaped designed. Onthe basis, the mechanical design of intelligent vehicle was adjusted to optimize toenhance the overall mechanical properties of the car.By several debugging, a set ofpractical control system hardware circuit was builded. On the control strategy forsteering control system, this paper proposes a servo steering control based on fuzzycontrol algorithm, combined with the corresponding master controller output PWMpulse signal, the duty cycle was varied by changing to achieve servo control of thesteering. For the DC motor module, the Fuzzy-PID control algorithm to control thespeed was proposed based on the conventional PID control algorithm, to adjust thespeed of real-time control, and had achieve good control effect.Experimental results show that, the design of intelligent vehicle control systemshas the advantage of reliable design, real-time and strong adaptability. By a longdebugging, the smart car mechanical and control algorithms have reached theoptimum state to achieve optimal control.
Keywords/Search Tags:Smart car, Electromagnetic navigation, MC9S12XS128, Motor control
PDF Full Text Request
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