Authors:
Himanshukumar R. Patel
and
Vipul A. Shah
Affiliation:
Instrumentation & Control Dept., Dharmsinh Desai University, College Road, Nadiad and India
Keyword(s):
Actuator Fault, Fault-Tolerant Control, Interacting System, Neural Network, Sensor Fault, System Fault.
Related
Ontology
Subjects/Areas/Topics:
Control and Supervision Systems
;
Informatics in Control, Automation and Robotics
;
Intelligent Control Systems and Optimization
;
Neural Networks Based Control Systems
;
Robotics and Automation
Abstract:
In chemical and process industries, interacting and non-interacting level control systems are often used for material storage and processing. The level control parameter is very vital for dealing with faults in a system (leak), actuator or sensor. System and actuator faults occurring in a system may decrease the performance or cause instability and unsafe accidents. As observed from practice, when the control performance of the interacting and non-interacting systems decreases due to occurrence of faults, a fault-tolerant control strategy (FTC) is required. This paper presents a framework for passive fault tolerant control (PFTC) using a neural network (NN) and it is designed in order to ensure the stability robustness of the system in the presence of the faults. In fact, FTC is the potential strategy which is justified by its ability to preserve an acceptable performance in the presence of faults and process disturbances. To check the effectiveness of the proposed framework single-t
ank and two-tank level control experimental setup are used with system and sensor faults. Simulation and experiment results are presented to demonstrate the capability of the proposed framework of PFTC using NN to counteract the effect of the system, sensor and actuator faults.
(More)