Liangmo Wang

Nanjing University of Science and Technology

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About

Liangmo Wang is a researcher specializing in intelligent control systems, vehicle dynamics, and robotic actuation technologies. His work focuses on advancing electromagnetic direct drive systems and their application in automotive and robotics engineering. One of his most notable contributions is the development of a fuzzy-neural-network-based speed control method for electromagnetic direct drive robot drivers, published in 2017, which has garnered 9 citations. This research addresses critical challenges in vehicle testing—such as emission durability, performance evaluation, noise analysis, and extreme temperature assessments—by enhancing precision and adaptability in robotic control. Wang’s work bridges the gap between theoretical control algorithms and practical vehicle validation, underscoring the importance of reliable testing for new vehicle product development. His achievements highlight a commitment to improving automation and efficiency in automotive engineering, making his research valuable for students and professionals exploring intelligent control, mechatronics, and vehicle testing methodologies.