| With the vigorous development of the automation technology and the controltechnology, so the remote control system will gradually become the developmenttrend. These control systems can complete many difficult works instead of human,and can complete works in bad and danger environment replace human. Therefore,the research and application of the intelligent control system will have far-reachinginfluence on human society, especially in recent years, intelligent robots play animportant role in the industrial production and daily life, and they are widely used inscientific exploration, modern logistics, the workshop handling and so on, thus it hasbecome a hotspot in the research of the artificial intelligence. This paper designs andrealizes a kind of intelligent tracing system which has the function of adaptivelearning. The system adopts ATmega16L single-chip microcomputer as the maincontroller, uses reflective infrared photoelectric sensor and photoelectric rotaryencoder to collect the path information and the speed information, then combinesmany common algorithms to make the decision that can control the steering engineand the drive motor, so the intelligent robot can realize identifing the path and tracingindependently. The paper has completed the following job.First, it introduces the overall design of the tracing system. Starting from thefunctional requirements of the tracing system, introducing the basic principle and thecomponent architecture, then describing the main functions of each module in detailand summarizing the basic characteristics of the tracing system.Secondly, completed the hardware design of the tracing system and introducedthe design method of each module. The system adopts ATmega16L as its maincontroller, uses the reflective photoelectric sensor and the photoelectric rotary encoderto collect the path information and the speed information, then completes autonomoustracing and steering by the drive motor and the steering engine.Thirdly, completed the software design of the tracing system. The system usesAVR STUDIO4software development platform and C language to complete thesoftware program design. In the part, the innovative application of the adaptivethinking in the tracing system is mainly introduced, and adopts PID control methodfor steering control, fuzzy control is combined with the PID control method was adopted to realize the speed control.Finally, making the functional test for the tracing system. It is installed on thewheeled robot to make actual field test and installs a self designed shading device.Tests show that the tracing system can guide the wheeled robot go along with thewhite lead line at any given site where has a variety of background colors, anddemonstrate the higher tracing precision, stronger anti-interference ability and betteroverall control effect, so it can be widely used in many intelligent systems. |
