A Study on RANC Technique for Server-based Control Filter Optimization 2024-01-2960

Broadband active noise control algorithms require high-performance so multi-channel control to ensure high performance, which results in very high computational power and expensive DSP. When the control filter update part need a huge computational power of the algorithm is separated and calculated by the server, it is possible to reduce cost by using a low-cost DSP in a local vehicle, and a performance improvement algorithm requiring a high computational power can be applied to the server. In order to achieve the above goal, this study analyzed the maximum delay time when communication speed is low and studied response measures to ensure data integrity at the receiving location considering situations where communication speed delay and data errors occur. Accelerometer and microphone sensor signals are transmitted from the local controller to the server using a commercial wireless communication service, and the server receives them and inputs them into an algorithm to create a control filter. The generated optimal control filter is sent back to the local controller and the controller can update its control filter with new one. The server algorithm secured a system capable of tuning and control performance analysis that can create an optimal control filter by changing control variables. In this study, we developed a remote active noise control system that updates control filters on a server based on wireless communication, thereby reducing the cost of in-vehicle controllers, expanding control flexibility, and securing a foundation for performance improvement, thereby establishing a foundation for expanding application of active noise control technology to other vehicles which was limited due to high cost of local ANC controller.