| 1 | Title of the Article | Optimal Energy-Efficient Predictive Controllers for Automotive Air Conditioning Systems |
| 2 | Author's name | Dr. Satish Saini: Assistant Professor Department of Electrical Engineering, RIMT University, Mandi Gobindgarh, Punjab, India |
| 3 | Author's name | |
| 4 | Subject | Management |
| 5 | Keyword(s) | Air Conditioning Systems, Discrete MPC, Frosting, Hybrid Controller, Robust MPC. |
| 6 | Abstract | This work provides robust model predictive controllers for a vehicle climate control (A/C-R) system featuring a three-speed, constantly variable compressor that improves temperate stability while lowering energy consumption. First, a simple control-oriented paradigm is used to explain the A/C-R system. As a consequence, the suggested model is used to build a discrete Variable Structure Gamepad (MPC) for something like an A/C-R circuit with a three-speed blower. To guarantee its longevity in both standard and cold conditions, a sufficient terminal weight is chosen. A case study can be carried out under various heating load scenarios. The advantages of a on/off microcontroller and the standalone Lpc are combined to produce two hybrid remotes that will be more reliable in any external temperature setting. A continuously MPC is also being created for ecosystems with continually altering parts. Finally, the theoretical and computational results of the innovative regulators, and also the conclusions of the classic on/off controller, are compared and contrasted to demonstrate that the recommended remotes can save up to 23% more energy than the conventional on/off control system. |
| 7 | Publisher | Innovative Research Publication |
| 8 | Journal Name; vol., no. | International Journal of Innovative Research in Computer Science & Technology (IJIRCST); Volume-10 Issue-2 |
| 9 | Publication Date | March 2022 |
| 10 | Type | Peer-reviewed Article |
| 11 | Format | |
| 12 | Uniform Resource Identifier | https://ijircst.org/view_abstract.php?title=Optimal-Energy-Efficient-Predictive-Controllers-for-Automotive-Air-Conditioning-Systems&year=2022&vol=10&primary=QVJULTgzNQ== |
| 13 | Digital Object Identifier(DOI) | 10.55524/ijircst.2022.10.2.5 https://doi.org/10.55524/ijircst.2022.10.2.5 |
| 14 | Language | English |
| 15 | Page No | 29-33 |