C. Ganesh

Papers

Total Citations

H-Index

About

C. Ganesh is a researcher specializing in control systems, robotics, and intelligent automation, with a particular focus on the application of artificial neural networks (ANNs) to motor control. His most cited work, "Artificial neural network based proportional plus integral plus derivative controller for a brushless DC position control system" (2012, 11 citations), addresses the critical challenge of achieving high-performance position control for Brushless DC (BLDC) motors—a key component in robotics, electric vehicles, and industrial automation. By integrating an ANN with a traditional PID controller, Ganesh advanced the efficiency and precision of BLDC motor systems, reducing rotor losses and optimizing control for demanding applications. Ganesh’s research also extends to sensor-based robotics, as demonstrated in his work on "Ultrasonic sensor-based motion control for robotic manipulators" (2003, 2 citations). Here, he developed a two-level hierarchical control structure that combines off-line trajectory planning with real-time guidance using ultrasonic distance sensing. This approach enhances the adaptability and safety of robotic manipulators in cluttered environments. Though his citation counts are modest, Ganesh’s contributions are foundational to the integration of neural networks in electromechanical systems, offering practical solutions for precision control in automation and robotics.