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Open AccessJournal ArticleDOI

Design and Implementation of a Preemptive Disturbance Rejection Controller for PEM Fuel Cell Air-feed System Subject to Load Changes

Geetha Mani, +1 more
- 01 Sep 2016 - 
- Vol. 11, Iss: 5, pp 1449-1456
TLDR
In this article, a robust regulatory controller (termed as Robustness Tracking Disturbance Overall Aggressiveness (RTDA) controller) is developed to control oxygen excess ratio and compared with widely accepted schemes namely Proportional Integral Derivative (PID), Model Predictive Control (MPC) in all the control schemes, the control objectives aim to maintain the desire oxygen excess ratios while keeping the compressor voltage at its nominal working point under input and output operational constraints.
Abstract
The paper focuses on the control of air feed system on the PEM fuel cell subject to load changes For this purpose, a robust regulatory controller (termed as Robustness Tracking Disturbance Overall Aggressiveness (RTDA) controller) is developed to control oxygen excess ratio and compared with widely accepted schemes namely Proportional Integral Derivative (PID), Model Predictive Control (MPC) In all the control schemes, the control objectives aim to maintain the desire oxygen excess ratio while keeping the compressor voltage at its nominal working point under input and output operational constraints The two different scenarios: (1) Robustness Output tracking and (2) Disturbance rejection for each configuration are compared using computational time and performance indicators like Integral Square Error (IS E) The novel contribution of this work is the comparison of the performance of the schemes with respect to computational time Simulation results allow evaluating effectiveness of the RTDA controller and the performance of each configuration applied to Polymer Electrolyte Membrane (PEM) Fuel cell air feed system

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Citations
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Proceedings ArticleDOI

Design and Simulation of ARTD Controller for Chemical Process Industry PMDC Motor

TL;DR: ARTD controller provides better performance and is demonstrated via MATLAB/Simulink simulation tool and the comparison is made with conventional PID controller.
Book ChapterDOI

Takagi Sugeno Fuzzy-Tuned RTDA controller for pH Neutralization process Subject to Addictive Load Changes

TL;DR: This work focuses on effective disturbance rejection in each operating region and robustness in tracking the desired output in the pH neutralization process, which has different operating regimes.
Book ChapterDOI

Improvement in Performance Attributes of Multivariable System Using RTDA Controller

TL;DR: In this paper, a simplified next-generation unconventional robustness, set-point tracking, disturbance rejection, aggressiveness (RTDA) controller is designed for controlling the quadruple tank system (QTS) which is an eminent benchmark Multi-input multi-output (MIMO) system.
References
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Journal ArticleDOI

Coordinating IMC-PID and adaptive SMC controllers for a PEMFC.

TL;DR: A novel coordinating scheme is proposed by combining an Internal Model Control based PID control and adaptive Sliding Mode Control and adaptive SMC controller for the reformer of the fuel flow rate according to the expected first-order dynamic properties.
Proceedings ArticleDOI

Weighted fuzzy fault tolerant model predictive control

TL;DR: The fuzzy FTC scheme proposed in this paper was able to detect, isolate and accommodate correctly the considered faults of the system.
Proceedings ArticleDOI

Soft computing techniques based optimal tuning of virtual feedback PID controller for chemical tank reactor

TL;DR: This work is based on the optimal tuning of virtual feedback PID control for a CSTR system using soft computing algorithm for minimum Integral Square Error (ISE) condition.
Book ChapterDOI

Development of a Nonlinear Model Predictive Control Framework for a PEM Fuel Cell System

TL;DR: In this paper, a nonlinear model based predictive control (NMPC) is proposed for the efficient and optimal operation of a PEM fuel cell system, which involves the use of orthogonal collocation on finite elements and represents the optimal control problem as a non-linear programming problem.
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