Abstract
Automatic driving is gradually being popularised, and automatic control of automobile steering by wire has also become a topic worthy of research. The research combines the fuzzy control algorithm and PID to construct a fuzzy PID control strategy, and integrates the genetic algorithm into the basic fuzzy rules to form an improved new algorithm. The algorithm mainly focuses on multiple changes in the steering-by-wire of the car, including angular momentum, angular velocity, linear velocity and linear acceleration, to build more complex fuzzy rules and then use the three most basic parameters of PID. The results show that the average accuracy rate, average recall rate and average precision rate of the improved algorithm are 91.27%, 73.67% and 80.94%, which are significantly higher than the other two algorithms for comparison, indicating that the improved algorithm has better performance.
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