Speaker Information

Abstract

Microwave filters are essential components in modern communication systems, and expanding infrastructure demands increasingly large quantities of these electrically delicate and precision devices. However, to meet stringent specifications, filter tuning remains labour-intensive, relying on skilled technicians who had gained tremendous fuzzy-logic experience. This skills shortage has become a critical bottleneck, driving up tuning costs and limiting production capacity. A comprehensive robotic tuning solution is introduced to automate the manual process.

The presentation will first outline the complete workflow and basic compositions of a robotic tuning system—from cable connection and tuning-screw localization through real-time data acquisition, iterative coupling-matrix extraction, and precision adjustments to final quality validation and automated reporting. Next, the algorithmic hurdles to achieving rapid, reliable convergence will be examined, including ensuring numerical stability during coupling matrix extraction, optimizing minimal tuning screws, and compensating for screw-tightening hysteresis. Finally, the practical challenges of integrating robotic tuning into high-volume manufacturing will be addressed, focusing on variation of material quality, assembly inconsistencies, and production downtime impacts.

Speaker Biography

Mr. HUNG received his B.Eng. (2009) and M.Phil. (2012) in Electronic Engineering from The Chinese University of Hong Kong. He is also co-founder of Mechawaves Manufacturing Ltd. (Hong Kong). From 2019 to 2023, he was Senior Engineer at Mechawaves Manufacturing (Shenzhen) Ltd., a pioneer in the area of microwave filter end-to-end automated robot tuning systems, where he led development of the robotic tuning platform, conducted data analysis, and optimized tuning processes for high-volume productions of millions of microwave filters for 5G and multiplexers for LTE systems.