MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641050061 A) filed by MLR Institute of Technology, Hyderabad, Telangana, on April 20, for 'zigbee-driven precision speed co-ordination for multiple ac motors.'
Inventor(s) include Dr. Sumana Das; Prof. C. Ashok Kumar; Mr. A. Yadagiri; and Mr. C. Murali Krishna.
The application for the patent was published on May 1, under issue no. 18/2026.
According to the abstract released by the Intellectual Property India: "Wireless synchronization of multiple motors is crucial for industrial applications requiring precise speed control to maintain process efficiency, operational stability, and product quality. Industries such as textile mills, steel plants, and paper manufacturing benefit from synchronized motor operations to prevent mechanical stress and ensure uniform production. The system employs Zigbee-based wireless communication, enabling seamless speed synchronization without complex wiring. A master motor wirelessly transmits speed control signals to multiple slave motors, ensuring consistent operation across the system. Utilizing Pulse Width Modulation (PWM) for accurate speed regulation and a closed-loop feedback mechanism with IR sensors for real-time RPM monitoring, the system dynamically adjusts motor speeds to eliminate differential speed errors. An intuitive user interface with an LCD display and keypad allows operators to easily set and monitor motor speeds, supporting quick adaptability to varying operational requirements while minimizing manual intervention. At the core, an intelligent microcontroller automatically modifies the pulse width to match slave motor speeds to the master motor, ensuring precise synchronization even under varying load conditions. The use of non-contact sensors further enhances feedback accuracy and system reliability. By integrating wireless communication, PWM control, and closed-loop feedback, the solution provides a scalable and efficient approach to motor synchronization, reducing manpower requirements and operational errors. Its high flexibility and adaptability make it ideal for dynamic industrial environments, optimizing resource usage and improving overall automation efficiency."
Disclaimer: Curated by HT Syndication.
