Michael Howard Fairbank

Title: Michael Howard Fairbank: An Innovator in Neural Network Control

Introduction

Michael Howard Fairbank is an accomplished inventor based in Colchester, Great Britain, known for his contributions to the field of electrical engineering and control systems. With three patents to his name, he has made significant advancements in neural network control systems, particularly for permanent magnet motor drives and dc/dc converters.

Latest Patents

Among his latest innovations are two noteworthy patents. The first patent, titled "Systems, methods and devices for neural network control for IPM motor drives," describes a method and system for managing an interior-mounted permanent magnet (IPM) alternating-current (AC) electrical machine. This system utilizes a space vector pulse-width modulated (SVPWM) converter connected to an electrical power source and the IPM AC electrical machine. It features three neural networks, including a controller neural network, a parameter estimator neural network, and a flux-weakening and Maximum Torque Per Ampere (MTPA) neural network.

The second patent, "Control of a buck dc/dc converter using approximate dynamic programming and artificial neural networks," details a dc/dc buck converter controller that integrates an artificial neural network (ANN). The input layer receives an error value and its integral, while the output layer generates an output error voltage. A pulse-width-modulation (PWM) sliding mode controller responds to the output error voltage to create a control action voltage, which is applied to manage the current constraints on the system efficiently.

Career Highlights

Michael Fairbank works at the University of Alabama, where he continues to conduct research and develop technologies that push the boundaries of electrical engineering. His work in the field has garnered attention and has set a precedent for future innovations in motor drives and power electronics.

Collaborations

Throughout his career, Fairbank has collaborated with several notable colleagues, including Shuhui Li and Xingang Fu. Together, they work on various projects that integrate neural networks into control systems, aiming to enhance the efficiency and functionality of electrical devices.

Conclusion

Michael Howard Fairbank's expertise and ongoing innovations serve as a testament to his dedication to advancing technology in the realm of neural networks and electrical engineering. With a focus on practical applications, his contributions help bridge the gap between theory and real-world implementations, paving the way for future developments in motor control systems and power management.