Design Of The Embedded Vehicle Platform Device Based On FPGA

As the continuous development of computer and control technology, intelligent robots andautomotive electronics technology have been combined by people. The intelligent vehicle basedon embedded systems is gradually starting to play an important role in industrial production anddaily life. Based on the study of embedded system development and analysis of the function ofthe intelligent vehicle, in this paper, we proposed a kind of vehicle platform device design basedon FPGA. The control system of intelligent vehicle is based on FPGA as the core controller, andthe car is equipped with a variety of functional modules. It is designed to achieve intelligentcontrol for the car.Taking into account the specific features of the smart car, we do not change the hardwarecircuit reconfigurable systems, and use FPGA as the main controller. Advantage of parallelexecution hardware is achieved intelligent control of the car. Hardware structure of the systemconstructed mainly consist of power module, power and steering module, infrared speed module,digital thermometer module, ultrasonic obstacle avoidance module, display module, datatransmission module, and so on. A comparative study of control algorithm by traditional PID andfuzzy, we propose a fuzzy adaptive PID algorithm to control the speed of DC drive motor, andusing MATLAB software to model and simulate this control algorithm. The simulation resultscan significantly show that using fuzzy adaptive PID control algorithm has some advantages, it isnot only improves the issue that the PID track signal poorly in the nonlinear system, but alsoimproves the problem that the fuzzy processing results in a poor quality of low control precisionand dynamic system. With Quartus II software as a development platform, using schematics andVerilog HDL hardware description language to write the main program of the system, motor andservo control subroutine, speed detection subroutines, digital thermometer subroutines,ultrasonic obstacle avoidance subroutines, display subroutines and data transmission subroutine.At the same time, using the modular design thought to complete the fuzzy adaptive PID controlalgorithm in the FPGA by software programming, and timing simulation work on variousfunctional modules and the overall module has been done. According to the results of thesimulation analysis, the design implements the functional requirements.Finally, through the study of the real-car debugging, it is realized the intelligent control tothe each functional modules of the intelligent car, and verify the effectiveness and stability of thedesigned fuzzy adaptive PID control algorithm implemented in the FPGA.