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Artificial intelligence control of a supersonic jet based on linear genetic programming (LGP)

Implementing Organization

Indian Institute of Technology Kanpur
Principal Investigator
Dr. Arun Kumar Perumal
Indian Institute of Technology Kanpur

Project Overview

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.
Funding Organization
Funding Organization
Science and Engineering Research Board (SERB), New Delhi
Anusandhan National Research Foundation (ANRF)
Quick Information
Area of Research
Computer Sciences and Information Technology
Start Year
2024
End Year
2027
Sanction Amount
₹ 38.89 L
Status
Ongoing
Output
No. of Research Paper
00
Technologies (If Any)
00
No. of PhD Produced
N/A
Startup (If Any)
00
No. of Patents
Filed :00
Grant :00
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