Computer Sciences and Information Technology
Title : | Artificial intelligence control of a supersonic jet based on linear genetic programming (LGP) |
Area of research : | Computer Sciences and Information Technology |
Principal Investigator : | Dr. Arun Kumar Perumal, Indian Institute Of Technology Kanpur (IITK), Uttar Pradesh |
Timeline Start Year : | 2024 |
Timeline End Year : | 2027 |
Contact info : | akp@iitk.ac.in |
Equipments : | Solenoid actuators
DAQ for pressure transducers.
Mass Flow Controller
PXI DAQ Systems
Pressure Controller
Pressure sensor
Power Supply
Pre-cooler |
Details
Executive Summary : | Supersonic aircraft require control of thrust direction for various applications, including manoeuvrability and survivability. To meet these needs, new flow control techniques are being developed, with fluidic thrust vectoring (FTV) methods being particularly important. This project aims to develop an active control technique for flow control based on FTV, using linear genetic programming to identify the optimal conditions of injectors. Thrust vectoring studies will be performed on a Mach 1.85 jet with 8 evenly spaced injectors with varying diameters. The fluid parameters for optimization include injector location, injector number, mass flow rate ratio, and velocity ratio. However, characterization studies on these parameters are necessary for every injector diameter, stifling progress towards implementing this technology. A novel linear genetic programming will be developed to identify the optimal conditions of injectors, mainly focusing on injector location, number, and volume. |
Total Budget (INR): | 38,88,500 |
Organizations involved