Self-Learning Control System Concept for APU Test Cells
The proposed concept presents an innovative test cell control system, compatible with an existing APU (Auxiliary Power Unit) test cell. The system is essentially a Non-Propulsive Energy (NPE) Power Management Unit that needs to efficiently distribute power among an aircraft’s pneumatic and electrica...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2018-01-01
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| Series: | MATEC Web of Conferences |
| Online Access: | https://doi.org/10.1051/matecconf/201821002009 |
| _version_ | 1831586691212640256 |
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| author | Ciobanu Razvan Stoicescu Adrian Nechifor Cristian Taranu Alexandra |
| author_facet | Ciobanu Razvan Stoicescu Adrian Nechifor Cristian Taranu Alexandra |
| author_sort | Ciobanu Razvan |
| collection | DOAJ |
| description | The proposed concept presents an innovative test cell control system, compatible with an existing APU (Auxiliary Power Unit) test cell. The system is essentially a Non-Propulsive Energy (NPE) Power Management Unit that needs to efficiently distribute power among an aircraft’s pneumatic and electrical loads, based on key parameters read from: loads (electrical, pneumatical), a real APU and real-time models of main engines representative to the aircraft. For this, the concept suggests a hardware & software solution, based on the approach of Artificial Neural Network (ANN). The ANN processes all inputs according to a mathematical law trained from existing data sets, such that minimal power loss is considered, given all safety levels are achieved. Development of the neural network is made such that the fastest response time and best performance consist as general goals, and the resulting control system is tested via Hardware-in-the-Loop simulation. Thus, the neural network is also designed to be safe and stable given maximum performance. The hardware solution describes all the equipment included to fulfil the objectives of the concept. |
| first_indexed | 2024-12-17T21:41:28Z |
| format | Article |
| id | doaj.art-50c23a1647934d398360d08b16f32d4e |
| institution | Directory Open Access Journal |
| issn | 2261-236X |
| language | English |
| last_indexed | 2024-12-17T21:41:28Z |
| publishDate | 2018-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | MATEC Web of Conferences |
| spelling | doaj.art-50c23a1647934d398360d08b16f32d4e2022-12-21T21:31:36ZengEDP SciencesMATEC Web of Conferences2261-236X2018-01-012100200910.1051/matecconf/201821002009matecconf_cscc2018_02009Self-Learning Control System Concept for APU Test CellsCiobanu RazvanStoicescu AdrianNechifor CristianTaranu AlexandraThe proposed concept presents an innovative test cell control system, compatible with an existing APU (Auxiliary Power Unit) test cell. The system is essentially a Non-Propulsive Energy (NPE) Power Management Unit that needs to efficiently distribute power among an aircraft’s pneumatic and electrical loads, based on key parameters read from: loads (electrical, pneumatical), a real APU and real-time models of main engines representative to the aircraft. For this, the concept suggests a hardware & software solution, based on the approach of Artificial Neural Network (ANN). The ANN processes all inputs according to a mathematical law trained from existing data sets, such that minimal power loss is considered, given all safety levels are achieved. Development of the neural network is made such that the fastest response time and best performance consist as general goals, and the resulting control system is tested via Hardware-in-the-Loop simulation. Thus, the neural network is also designed to be safe and stable given maximum performance. The hardware solution describes all the equipment included to fulfil the objectives of the concept.https://doi.org/10.1051/matecconf/201821002009 |
| spellingShingle | Ciobanu Razvan Stoicescu Adrian Nechifor Cristian Taranu Alexandra Self-Learning Control System Concept for APU Test Cells MATEC Web of Conferences |
| title | Self-Learning Control System Concept for APU Test Cells |
| title_full | Self-Learning Control System Concept for APU Test Cells |
| title_fullStr | Self-Learning Control System Concept for APU Test Cells |
| title_full_unstemmed | Self-Learning Control System Concept for APU Test Cells |
| title_short | Self-Learning Control System Concept for APU Test Cells |
| title_sort | self learning control system concept for apu test cells |
| url | https://doi.org/10.1051/matecconf/201821002009 |
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