Modeling and optimization of a modified iron-yoked electromagnetic propulsion system using the gravitational search...

Area of Science:

• Electromagnetism
• Mechanical Engineering
• Aerospace Engineering

Background:

• Electromagnetic launchers (EMLs) offer promising applications in defense, space exploration, and high-speed transportation.
• Current EML designs require further optimization for efficiency and performance.
• Key challenges include managing magnetic circuit reluctance and inductance.

Purpose of the Study:

• To present a novel EML design incorporating a laminated iron yoke to enhance magnetic flux and reduce reluctance.
• To investigate the impact of the iron yoke on inductance and efficiency.
• To optimize EML parameters using artificial intelligence and validate the design experimentally.

Main Methods:

• A new EML design featuring a laminated iron yoke surrounding the coil was developed.
• Mathematical modeling was performed using MATLAB Simulink and validated experimentally.
• The Gravitational Search Algorithm (GSA) was employed for parameter optimization (turns, capacitance, voltage).
• Insulated Gate Bipolar Transistors (IGBTs) were used for fast coil switching to mitigate suck-back force.

Main Results:

• The iron-yoked EML exhibited doubled peak inductance and a 65% increase in initial inductance compared to non-yoked designs.
• The modified design achieved a 17.5% efficiency, a 60% improvement over the baseline.
• The GSA-optimized system demonstrated a further 15% efficiency enhancement, reaching a total of 20%.

Conclusions:

• The laminated iron yoke design significantly improves EML inductance and efficiency.
• AI-driven optimization, coupled with the novel design, maximizes EML performance.
• This optimized EML technology holds potential for cost-effective propulsion in space and transportation applications.