A Novel LMS-Based SANC for Conveyor Belt-Type Checkweigher

Abstract

The conveyor belt-type checkweighers are increasingly employed for dynamic weighing in the mass production line, such as agricultural products, chemical, pharmaceutical, and other manufacturing industries. However, this dynamic weighing system is easily influenced by the environmental and mechanical vibrations, which can disrupt the weighing results accuracy and the weighing throughput rate. Besides, the checkweigher systems are complex and time-varying. Therefore, an adaptive filter called self-adaptive noise cancellation (SANC) is presented in this article to eliminate the impaction of these vibrations, and a novel variable step-size least mean-squares (NVS-LMS) algorithm is proposed. Finally, a checkweigher system, with 24-bit ADC and a processor of STM32F405, to evaluate the performance of the approach in-field was constructed. The results show that the mean errors and the standard deviations of the error about the tests can meet the requirements of category XIII (0.1) in OIML R 51, and the system can operate in the speed up to 1.75 m/s.