Further Ideas on MPC and PFC Using Relaxed Constrained Optimization

Zhang, Ridong; Xue, Anke; Gao, Furong

doi:10.1007/978-981-13-0083-7_11

Cited by 1 publication

(1 citation statement)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Hence, the main aim of this paper is to compare the closed-loop performance between PFC and PID, where the focus of the analysis will be on the tuning effect, constraints handling, and disturbance rejection for the cruise control application. It should be noted that PFC should not be compared with MPC as the level of complexity in the optimization process is very different [19]. The structure of this paper is organized as follows.…”

Section: Introductionmentioning

confidence: 99%

Performance Comparison Between Predictive Functional Control and PID Algorithms for Automobile Cruise Control System

Zainuddin

Abdullah

Ahmad

et al. 2022

IJAME

View full text Add to dashboard Cite

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.

show abstract

Section: Introductionmentioning

confidence: 99%