Cruise Control for Autonomous Vehicles Based on Interval Type-2 Fuzzy Logic

Cruise control (CC) is a fundamental and significant technology in autonomous-driving technology, and accuracy of speed control and ride comfort are the basic performances. This paper designs a new controller for cruise control-interval type-2 fuzzy logic controller (IT2 FLC), which takes relative speed and acceleration of main vehicle as input variables and the acceleration of the desired change as output variable. Finally, different working conditions are set up, and simulation is carried out under type-1 fuzzy logic controller (T1 FLC) and IT2 FLC, respectively. The simulation results show that this method can achieve a good control effect, and it can provide a new thinking for autonomous-driving technology and other control fields in the future.