Direct Torque Control (DTC), known for its simplicity and robustness, offers direct control over torque and flux in motor drives by selecting appropriate inverter switching states. However, conventional DTC methods may suffer from high torque ripple and flux ripple, especially at low speeds and under load variations. The proposed work proposes a novel approach to improve the control efficiency of Brushless Direct Current (BLDC) motors through the integration of Fuzzy Logic Control (FLC) into the DTC scheme. By incorporating Fuzzy Logic principles, the proposed strategy aims to mitigate these issues and improve overall motor drive performance. The FLC is designed to dynamically adjust the inverter switching states based on fuzzy rules derived from expert knowledge and system characteristics. This allows for controlled responses in motor operating conditions, resulting in smoother torque and flux outputs. Simulation results showcase the efficiency of the proposed approach in reducing torque and flux ripple, improving dynamic response, and enhancing the robustness of BLDC motor drives. Experimental validation on a real-time hardware platform verifies the feasibility and practicality of the proposed Fuzzy Logic-based DTC strategy for various industrial applications. © 2025 selection and editorial matter, Thanikanti Sudhakar Babu, Mallala Balasubbareddy, Subramaniam M, Nnamdi Nwulu, Vigna Kumaran Ramachandaramurthy, Renu Sharma; individual chapters, the contributors. All rights reserved.