Multi-objective optimization of electro-pneumatic braking process with fuzzy logic control for heavy haul railway applications

Jony Javorski Eckert, Ícaro Pavani Teodoro, Matheus Valente Lopes, Qing Wu and Auteliano A. Santos

International Journal of Rail Transportation, 2025, vol. 13, issue 2, 332-351

Abstract: This paper presents a novel approach to multi-objective optimization in heavy haul trains’ electro-pneumatic braking systems using optimizable fuzzy control. Initial findings indicate that a straightforward replacement of pneumatically controlled valves with electro-pneumatic ones, without significant control schedule modifications, fails to substantially improve the dynamics behaviour of rolling-stock. Consequently, a more sophisticated strategy based on optimizable fuzzy logic control for the electro-pneumatic valves was developed. This approach utilizes multi-objective optimization to simultaneously minimize energy dissipation during braking and reduce force peaks in freight car draft gears. The optimal solution achieved demonstrates a 13.41% reduction in kinetic energy dissipation during downhill sections, along with a concurrent decrease in draft gear peak forces by 14.22% in traction and 3.16% in buff regimes compared to standard rolling-stock with pneumatically controlled valves. This optimized fuzzy braking controller outperforms standard procedures, highlighting its potential to enhance heavy haul train efficiency while adhering to safety standards.

Date: 2025
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DOI: 10.1080/23248378.2024.2338837

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