Abstract
This paper presents, a novel controller design technique that can be used for the Proton Exchange Membrane Fuel Cell to tackle the impact of the sudden stack current disturbances. The proposed controller design consists of three components: a full-state feedback control loop, an integral of error control loop and a feed-forward control loop. The feed-forward control loop is designed to ease the impact of the piecewise continuous current disturbance on the stack voltage. Linearized system matrices are set up in such a way that a new augmented system is formed. Controller gains are calculated by using a quadratic performance criterion which is minimized along the trajectories of the augmented system. Simulation results are presented and discussed.
| Original language | English |
|---|---|
| Title of host publication | Control and Optimization of Connected and Automated Ground Vehicles; Dynamic Systems and Control Education; Dynamics and Control of Renewable Energy Systems; Energy Harvesting; Energy Systems; Estimation and Identification; Intelligent Transportation and Vehicles; Manufacturing; Mechatronics; Modeling and Control of IC Engines and Aftertreatment Systems; Modeling and Control of IC Engines and Powertrain Systems; Modeling and Management of Power Systems |
| Publisher | American Society of Mechanical Engineers (ASME) |
| ISBN (Electronic) | 9780791851906 |
| DOIs | |
| State | Published - 2018 |
| Externally published | Yes |
| Event | ASME 2018 Dynamic Systems and Control Conference, DSCC 2018 - Atlanta, United States Duration: 30 Sep 2018 → 3 Oct 2018 |
Publication series
| Name | ASME 2018 Dynamic Systems and Control Conference, DSCC 2018 |
|---|---|
| Volume | 2 |
Conference
| Conference | ASME 2018 Dynamic Systems and Control Conference, DSCC 2018 |
|---|---|
| Country/Territory | United States |
| City | Atlanta |
| Period | 30/09/18 → 3/10/18 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Disturbance rejection
- Integral action
- LQ optimization control
- PEM Fuel Cell
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