140CRA93100 Fuzzy Judgment Subroutine

140CRA93100 The results obtained from the fuzzy rules are still fuzzy quantities, which have to be reduced to precise quantities by the fuzzy inference algorithm before they can be output. This design uses the simple fuzzy inference algorithm, which is the mainstream of today’s fuzzy control algorithms. For each determined input x and y values correspond to different fuzzy subsets with different degrees of subordination. Multiple fuzzy rules activated by the fuzzy set are used to find out the degree of subordination of each output to the fuzzy set by taking the smaller value, and then the center of gravity method (weighted average method) is used to solve the fuzzy set to find out the exact value of t2.

The 140CRA93100 is highly programmable and can defuzzify . Fuzzy decision making and defuzzification are conveniently implemented in software, and the algorithmic flow of the fuzzy judgment subroutine of the variable period traffic fuzzy controller based on the waiting length of vehicles at intersections is shown in Fig. 4.

140CRA93100 firstly read in the red light direction detection area of each detector display value, calculate the maximum number of vehicles x and y Then multiply x and y respectively by the quantization factor, to find the corresponding domain elements characterized by finding the control table x and y, and according to the Table 4 fuzzy control rule table to find the output control volume of the domain value t Finally, it will be substituted into the formula 15 + ki × t, can be calculated to the actual direction change The length of time t of the green light after the actual change of direction can be calculated.