International Research Journal of Education and Technology

 In the realm of automation and industrial control, precise and efficient motor speed regulation is critical. This research introduces a robust motor speed control system utilizing voice commands, developed through LabVIEW, a graphical programming platform. The system leverages voice recognition technology to translate spoken commands into actionable control signals, enabling hands-free and user-friendly motor operation. Key components include a microphone for voice input, a motor driver (L298N) for motor actuation, and a feedback mechanism to ensure accuracy and stability. The design incorporates Pulse Width Modulation (PWM) for smooth speed variation and real-time feedback using sensors to maintain desired motor performance. LabVIEW’s intuitive environment is used to integrate voice recognition algorithms with hardware interfacing, enabling seamless communication between the user and the motor control system.

The system’s performance is evaluated using metrics such as response time, accuracy of voice recognition, and consistency in maintaining the commanded speed under varying loads. Experimental results demonstrate the proposed method's effectiveness in achieving precise motor control with minimal delay, offering a promising solution for industrial automation, assistive technologies, and smart devices. This voice-based control system highlights the potential for integrating speech recognition into control systems, paving the way for more intuitive and accessible automation solutions.

Key Words:  Voice recognition, LabVIEW, motor control, PWM, feedback system, automation, industrial control