Premium
Robust analytical proportional‐integral‐derivative tuning rules for regulation of air pressure in supply manifold of proton exchange membrane fuel cell
Author(s) -
Kareem Ghousiya Begum,
Ganesan Balasubramanian
Publication year - 2020
Publication title -
asia‐pacific journal of chemical engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.348
H-Index - 35
eISSN - 1932-2143
pISSN - 1932-2135
DOI - 10.1002/apj.2569
Subject(s) - pid controller , robustness (evolution) , control theory (sociology) , proton exchange membrane fuel cell , sensitivity (control systems) , computer science , mathematics , chemistry , membrane , engineering , control engineering , electronic engineering , temperature control , control (management) , biochemistry , artificial intelligence , gene
The core aim of this manuscript is to recommend analytical tuning rules to regulate and control the air supply pressure moving from the supply manifold (SM) to the electrode (cathode) of proton exchange membrane fuel cell (PEMFC). This is done to have an optimal oxygen excess ratio in the fuel cell for enhanced energy generation. The higher order dynamics of PEMFC is approximated to be non‐integer first‐order stable plus time delay model. A simple proportional ‐integral/proportional‐integral‐derivative (PI/PID) control scheme is designed for a specific maximum sensitivity ( Ms ) using analytical tuning rules. This, in turn, enhances its dynamic performance by regulating the SM pressure. The proposed integer order PI/PID control technique is compared with the other fractional order IMC‐PI control techniques that are recently published. The simulation results obtained prove that the proposed tuning rules provide a good response compared with fractional order controllers and thereby maintaining the SM pressure. The robustness of the novel controller is analyzed by introducing perturbations and noise to the dynamic model. The tuning rules proposed are applicable for two maximum sensitivity values of 1.4 and 2 as a measure of robustness. To measure system performance, few time domain metrics and integral absolute error ( IAE) , integral square error ( ISE) , and TV metrics are used. For both the Ms values, the proposed techniques provide stable and improved responses.