A Comparative Study of Design of Active Fault-Tolerant Control System for Air–Fuel Ratio Control of Internal Combustion Engine Using Particle Swarm Optimization, Genetic Algorithm, and Nonlinear Regression-Based Observer Model

A Comparative Study of Design of Active Fault-Tolerant Control System for Air–Fuel Ratio Control of Internal Combustion Engine Using Particle Swarm Optimization, Genetic Algorithm, and Nonlinear Regression-Based Observer Model

In this article, three distinct strategies for designing an Active Fault-Tolerant Control System (AFTCS) for Air-Fuel Ratio (AFR) control of an Internal Combustion (IC) engine in a process plant to avoid engine shutdown, are presented. The proposed AFTCS employs a Genetic Algorithm (GA), Particle Sw...

Full description

Bibliographic Details
Main Authors: Turki Alsuwian, Muhammad Sajid Iqbal, Arslan Ahmed Amin, Muhammad Bilal Qadir, Saleh Almasabi, Mohammed Jalalah
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Applied Sciences
Subjects:
active fault-tolerant control
AFR control
fault detection and isolation unit
IC engine
nonlinear regression
particle swarm optimization
Online Access:https://www.mdpi.com/2076-3417/12/15/7841

Similar Items

Similar Items