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@article{186686,
        author = {Gajjarapu Venkata Neeraj and Dr. B.R. Amarendra Reddy and Dr. Ch. V.V.S. Bhaskara Reddy},
        title = {Trial-Based Code and Learning Control of Antilock Braking System in Hybrid Electric Vehicles},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {6},
        pages = {2274-2281},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=186686},
        abstract = {The Antilock Braking System (ABS) plays a critical role in enhancing vehicle safety by preventing wheel lock-up and maintaining steerability during emergency braking in Hybrid Electric Vehicles (HEVs). Traditional ABS control strategies often rely on fixed-parameter feedback laws or model-based approaches, which may be limited in addressing nonlinearities, uncertainties, and varying road conditions. This paper proposes a Trial-Based Code and Learning Control (TBCLC) framework for the Antilock Braking System (ABS), combining iterative learning principles with algorithmic code implementation for real-time adaptability. The approach exploits repeated braking trials and simulation-based coding structures to refine brake pressure modulation, minimize slip ratio deviations, and improve stopping distance under diverse road friction conditions. By embedding trial-based code within the ABS model, the controller achieves both reproducibility and robustness, enabling dynamic adjustment to nonlinear tire–road interactions. MATLAB/Simulink simulations are employed to validate the proposed methodology, demonstrating superior performance over conventional ABS controllers in terms of stability, responsiveness, and road condition adaptability.},
        keywords = {Trial-Based Code and Learning Control (TBCLC), Antilock Braking System (ABS), Hybrid Electric Vehicles (HEVs), Vehicle Dynamics, Iterative Learning Control (ILC), Vehicle Dynamics, Slip Ratio Control, Road–Tire Interaction, Braking Efficiency, MATLAB/Simulink Implementation, Trial-Based Code Simulation, Controller Design, Robustness under Road Conditions, Real-Time ABS Control.},
        month = {November},
        }