Series Fuzzy PID with Anti-windup Controller for Intelligent Vehicle

2020-01-0113

04/14/2020

Features
Event
WCX SAE World Congress Experience
Authors Abstract
Content
A series fuzzy PID controller with anti-windup scope (SFPCA) is proposed in this paper to address saturation nonlinear problem and control disturbance caused by uncertainty of actuator model. In order to achieve novel dynamic and steady-state performance, the fuzzy controller and PID controller are fused into series, which realizes excellent dynamic performance of fast response and low overshoot like pure fuzzy controller at the initial response stage, and the excellent steady-state performance of stable and no static difference like PID control at the later response stage. The Hurwitz low is employed to configure PID parameters and 49 rules are designed for fuzzy controller. Since the input of the actuator could not be infinite, the actuator being saturated for a long time could reduce the stability of system and, even lead to irreversible damage. Moreover, after exiting the saturation state, it is difficult to quickly recover to the fast and stable response state of the original system. Therefore, an anti-windup scope is meticulously developed to limit the system input to a reasonable range under the saturation state, and, in the unsaturated state, the original Fuzzy PID control is restored. In order to verify the performance of the algorithm, four comparison algorithms were adopted, including pure PD, pure PID, pure Fuzzy and series Fuzzy PID controller (SFPC), and two typical commands like step and sine are employed as desired signals. The experimental results show that the SFPCA has more excellent dynamic and steady performance than pure PD, pure PID, pure Fuzzy and series Fuzzy PID controller (SFPC).
Meta TagsDetails
DOI
https://doi.org/10.4271/2020-01-0113
Pages
6
Citation
Luo, C., "Series Fuzzy PID with Anti-windup Controller for Intelligent Vehicle," SAE Technical Paper 2020-01-0113, 2020, https://doi.org/10.4271/2020-01-0113.
Additional Details
Publisher
Published
Apr 14, 2020
Product Code
2020-01-0113
Content Type
Technical Paper
Language
English