Antlion optimizer tuned PID controller based on Bode ideal transfer function for automobile cruise control system

Abstract

Abstract Automobile cruise control reduces driver fatigue and ensures traffic safety by heavily relying on ICT and control engineering. A number of cruise control schemes are expected to be designed for proper safety management of vehicles in automobile design sector. Due to boosting road crowds, there is a new demand in developing automation of cruise control. The successfulness of automation of cruise control is heavily dependent on the efficient design of feedback control system. The use of evolutionary algorithms in designing feedback control of automobile cruise control system has reported in recent literature. It involves the communication of traffic data captured by sensor with actuator of the vehicle. The literature still lacks use of recently developed evolutionary algorithms for cruise control that could leverage road safety by tuning the control parameters. This paper presents the design of robust PID controller for an automobile cruise control system (ACCS). A linearized version of the cruise control system has been studies as per the dominant characteristics in closed loop system. The PID controller is designed as per Bode ideal transfer function to ensure robustness and formulated as an optimization problem. The gain parameters of the designed PID controller are tuned by ant lion optimizer (ALO) algorithm such that the proposed compensated system depicts the Bode ideal reference model. A comparison of this approach, a state space method, classical PID, fuzzy logic, genetic algorithm is presented. Numerical simulations shows that the ALO tuned PID controller based on bodes ideal model has better performance in terms of settling time, rise time, maximum overshot, peak time and steady state error. The performance analysis has performed by time domain analysis and frequency domain analysis. The robustness of the system is evaluated by considering sensitivity, complimentary sensitivity and controller sensitivity function. Further, the disturbance rejection behavior is studied for the proposed system. The analysis result reveals that the proposed ALO based PID controller with Bode ideal model for ACCS performs better than other recently published methods. All the simulations are carried out in Simulink/Matlab environment.