Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

Fractional Order PID Controller Design for Supply Manifold Pressure Control of Proton Exchange Membrane Fuel Cell

View through CrossRef
Abstract In this work, fractional order PI λ D µ (FOPID) controller designed to enhance the dynamic performance of the Proton Exchange Membrane (PEM) fuel cell. The control objective is to regulate the supply manifold pressure on cathode side to maintain oxygen excess ratio of the PEM fuel cell. The higher order PEM fuel cell model is approximated to First order plus time delay (FOPTD) model for controller design and analysis. The proposed FOPID controller is designed based on minimization of Integral Absolute Error (IAE) with pre specified maximum sensitivity (M s ) as a constraint. Uncertainty and measurement noise analysis is carried out to verify the robustness of the designed controller. The simulation results of proposed FOPID controller is compared with other designing methods. Based on minimization of IAE value, the SP 1.4 FOPID controller produces IAE value of 0.255 where as AMIGO 1.4 tuning method and ZN based FOPID tuning methods produces 0.263 and 3.817 respectively for perfect case. Based on maximum sensitivity M s is 1.4, the SP 1.4 FOPID controller produces M s of 1.4 where as AMIGO 1.4 PID and ZN based FOPID tuning methods produces Ms of 1.5 and 1.25 respectively for perfect case, which indicates that the proposed SP 1.4 FOPID controller is robust. The proposed SP 1.4 FOPID provides better values (rise time of 0.331 sec, settling time of 0.692 sec and percentage of peak overshoot of 0.797 for perfect case) when compared with other methods. From simulation results, for the control of supply manifold pressure of PEM fuel cell, the proposed fractional-order PID controllers improves the closed loop performance in terms of rise time, settling time and percentage of peak overshoot when compared to the integer-order PID controllers.
Title: Fractional Order PID Controller Design for Supply Manifold Pressure Control of Proton Exchange Membrane Fuel Cell
Description:
Abstract In this work, fractional order PI λ D µ (FOPID) controller designed to enhance the dynamic performance of the Proton Exchange Membrane (PEM) fuel cell.
The control objective is to regulate the supply manifold pressure on cathode side to maintain oxygen excess ratio of the PEM fuel cell.
The higher order PEM fuel cell model is approximated to First order plus time delay (FOPTD) model for controller design and analysis.
The proposed FOPID controller is designed based on minimization of Integral Absolute Error (IAE) with pre specified maximum sensitivity (M s ) as a constraint.
Uncertainty and measurement noise analysis is carried out to verify the robustness of the designed controller.
The simulation results of proposed FOPID controller is compared with other designing methods.
Based on minimization of IAE value, the SP 1.
4 FOPID controller produces IAE value of 0.
255 where as AMIGO 1.
4 tuning method and ZN based FOPID tuning methods produces 0.
263 and 3.
817 respectively for perfect case.
Based on maximum sensitivity M s is 1.
4, the SP 1.
4 FOPID controller produces M s of 1.
4 where as AMIGO 1.
4 PID and ZN based FOPID tuning methods produces Ms of 1.
5 and 1.
25 respectively for perfect case, which indicates that the proposed SP 1.
4 FOPID controller is robust.
The proposed SP 1.
4 FOPID provides better values (rise time of 0.
331 sec, settling time of 0.
692 sec and percentage of peak overshoot of 0.
797 for perfect case) when compared with other methods.
From simulation results, for the control of supply manifold pressure of PEM fuel cell, the proposed fractional-order PID controllers improves the closed loop performance in terms of rise time, settling time and percentage of peak overshoot when compared to the integer-order PID controllers.

Related Results

Proton Polymer Electrolytes in Fuel Cell
Proton Polymer Electrolytes in Fuel Cell
The electrolyte is one of the main parts of a fuel cell. That is divided into liquid and solid and it is used in both Alkaline and acidulous PH. But with due to kind of electrolyte...
Procedure for Western blot v1
Procedure for Western blot v1
Goal: This document has the objective of standardizing the protocol for Western blot. This technique allows the detection of specific proteins separated on polyacrylamide gel and t...
Penerapan Sistem Kendali PID pada Antena Pendeteksi Koordinat Posisi UAV
Penerapan Sistem Kendali PID pada Antena Pendeteksi Koordinat Posisi UAV
AbstrakPada penelitian ini telah diterapkan sebuah sistem kendali Proporsional-Integral-Derivatif (PID) pada antena pendeteksi koordinat posisi pesawat udara tanpa awak. Sistem ken...
An Extended PID Controller for Automatic Control System
An Extended PID Controller for Automatic Control System
The concept of an extended PID controller is introduced for the first time. This controller combines the properties of two well-known variants of the classical PID controller. The ...
ANFIS Controller Design Using PSO-Tuned PID Data for pH Regulation in Industrial Cooling Towers
ANFIS Controller Design Using PSO-Tuned PID Data for pH Regulation in Industrial Cooling Towers
The Adaptive Neuro-Fuzzy Inference System (ANFIS) controller is a modern alternative to the conventional PID controller. This paper presents the design of the ANFIS controller for ...
A Feedback‐Assisted Inverse Neural Network Controller for Cart‐Mounted Inverted Pendulum
A Feedback‐Assisted Inverse Neural Network Controller for Cart‐Mounted Inverted Pendulum
A vast variety of neural network (NN)–based controllers use indirect adaptive control structures for their implementation, which primarily aims at estimating the nonlinear dynamics...
Solving Undamped and Damped Fractional Oscillators via Integral Rohit Transform
Solving Undamped and Damped Fractional Oscillators via Integral Rohit Transform
Background: The dynamics of fractional oscillators are generally described by fractional differential equations, which include the fractional derivative of the Caputo or Riemann-Li...
Nonlinear optimal control for robotic exoskeletons with electropneumatic actuators
Nonlinear optimal control for robotic exoskeletons with electropneumatic actuators
Purpose To provide high torques needed to move a robot’s links, electric actuators are followed by a transmission system with a high transmission rate. For instance, gear ratios of...

Back to Top