Open AccessPerformance Comparison Between Predictive Functional Control and PID Algorithms for Automobile Cruise Control System
Author(s) -
Mohamed Al-Sideque Zainuddin,
Mohammad Abdullah,
Sultan Ahmad,
K.A. Tofrowaih
Publication year - 2022
Publication title -
international journal of automotive and mechanical engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.311
H-Index - 25
eISSN - 2229-8649
pISSN - 2180-1606
DOI - 10.15282/ijame.19.1.2022.09.0728
Subject(s) - pid controller , control theory (sociology) , model predictive control , cruise control , control engineering , nonlinear system , cruise , closed loop , controller (irrigation) , control system , control (management) , engineering , computer science , temperature control , artificial intelligence , agronomy , physics , quantum mechanics , biology , aerospace engineering , electrical engineering
This work presents a performance comparison between a Predictive Functional Control (PFC) and a traditional Proportional Integral Derivative (PID) controller specifically for a cruise control application. The tuning efficacy, constraints handling, and disturbance rejection features of both controllers are analysed by comparing their closed-loop response. A simplified nonlinear vehicle longitudinal dynamics model is derived and utilised as a plant to simulate the control response from a real car. For a fair comparison, both PFC and PID are tuned to achieve the similar desired closed-loop time response. Qualitatively, the results show that PFC provides a better closed-loop response, constraints handling, and disturbance rejection compared to PID. Besides, it is also found that the tuning approach of PFC is more intuitive and practical in nature which can be very handy for the future development of an autonomous cruise control application.