Papers
8
Total Citations
756
H-Index
6
About
David G. Taylor is a control systems engineer whose research has profoundly shaped the field of motor drives and robotic manipulation over four decades. Best known for his pioneering work on switched reluctance motors (SRMs), Taylor's 1987 paper on feedback linearizing control of SRMs—now cited nearly 475 times—established a rigorous nonlinear control framework for high-performance motor drives, directly addressing the growing demands of direct-drive robotics. His subsequent work on low-torque-ripple SRMs and composite control strategies for direct-drive robots further cemented his reputation as a leading authority on gearless robotic systems, eliminating mechanical complexity while preserving precision and reliability. Beyond motor control, Taylor has made notable contributions to robot kinematics through his analysis of Stewart platform singularities and dynamics, and to precision manufacturing through robust H∞ and gain-scheduled control designs for flexible gantry robots. His research spans classical nonlinear control theory to modern applications, including RFID-based Kalman filter localization for robotic navigation and virtual reality systems. Throughout his career, Taylor has consistently bridged rigorous mathematical control theory with practical engineering challenges, producing work that remains highly relevant to students and researchers in robotics, mechatronics, and intelligent systems.
Research Focus
Key Achievements
Top Papers
- 1Feedback linearizing control of switched reluctance motors475 citations · 1987
- 2Low-torque-ripple switched reluctance motors for direct-drive robotics89 citations · 1991
- 3Composite control of direct-drive robots75 citations · 2003
- 4The singularities and dynamics of a Stewart platform manipulator70 citations · 1993
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