The Study Of Moving Simulation Basing On Controlling Car With Fuzzy Technology

Precise agriculture is a developing direction in the future agriculture, and an important way for making the agricultural continuance into reality. There need a lot of knowledge and technology especially automation and computer to sustain the precise agriculture. For making precise agriculture into action, it must possess some hardware. So it is important that these agricultural machines can deal with some works by means of intelligence.The function of an agricultural machine is that accomplishes some producting works, for finishing them, it has to move in a certain area. So for its intelligent action, first, translating its moving into being auto-controlled.For the working condition of agricultural machine, there are many factors which can't be conformed, so it is difficult that its moving is controlled automatically. In traditional controlling theory, if there is an object will be controlled by automaton that must base on mathematical model, but these precise modeling are difficult in these process of agricultural machine moving. Even if any mathematical models are found, but they often can be insolubility for their complexity, so there are much difficulties to control it by means of traditional controlling, instead that fuzzy controlling as a sort of intelligent controlling without any mathematical models. So fuzzy controlling technology can be used controlling the moving process of an agricultural machine.This paper studies a means to auto-control a car's moving process with fuzzy technology and the car is a sort carrying tool of agricultural machines. In usual fuzzy controlling, a multiple dimension fuzzy model regards some variables as its inputs that are variable, variety of variable and rate of variety. But in the paper, there are two directly inputting variables that they are ED and FD, and the ED is calculated by LD and RD, where the LD, RD and FD denote the distance that are measured by range sensors on a car between the left, right, front obstacle and the car, then they will be translated into controlling variable u by the function of fuzzy controller, and then the car will move basing on the controlling variable u. In order to prove the fuzzy controlling algorithmic correctness, the moving process of car can be simulated by computer technology. The simulating program may be written with C++ and MATLAB, then can get two curves that they are track simulating and outputting result by starting the program. As an result that the car can avoid obstacle in the process of moving and move to target, in some time of starting movement, there is an interim which last about 3s, so the time of the process is short, and then the output of the fuzzy controller is smooth. Therefore the fuzzy controlling arithmetic is feasible and can meet the demand of auto-controlling car's moving process in agriculture.