Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/50700
Título: | Embedded platform for generic high-order sigma-delta accelerometers testing |
Autor(es): | Brito, Nuno André Mano Lima, Vasco António Lourenço Alves, Filipe Manuel Serra Cabral, Jorge Gaspar, J. Monteiro, João L. Rocha, Luís Alexandre Machado |
Palavras-chave: | MEMS control Sigma-delta control Configurable real-time embedded system |
Data: | 2016 |
Editora: | Elsevier 1 |
Revista: | Procedia Engineering |
Resumo(s): | The transition from an open loop to a closed loop sensing approach in MEMS accelerometers is an important step towards improving the sensor noise performance, bandwidth and time responses [1]. However, this approach presents some computational challenges due to the fast nature of the mechanical part, and ultimately, the performance of the feedback circuit will establish the sensor performance limits that can be accomplished.This paper presents a processor-centric digital platform assisted by an FPGA for real-time control of MEMS accelerometers through a configurable multi-order Delta Sigma modulation technology module. The system is designed to allow a high-level fine tune of the system control parameters, such as sensor offset, actuation voltage, sampling frequency, filters coefficients, Delta Sigma order and coefficients as well as the output decimation ratio. The processor is used to control the hardware, perform time-critical synchronous operations and provide an external control port through a UART API protocol. The platform has been successfully tested in multiple Delta Sigma configurations. |
Tipo: | Artigo em ata de conferência |
Descrição: | "Procedia Engineering, vol. 168 (2016)" |
URI: | https://hdl.handle.net/1822/50700 |
DOI: | 10.1016/j.proeng.2016.11.314 |
ISSN: | 1877-7058 |
Arbitragem científica: | yes |
Acesso: | Acesso restrito UMinho |
Aparece nas coleções: | DEI - Artigos em atas de congressos internacionais |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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Eusosensors2016_NB.pdf Acesso restrito! | 1,44 MB | Adobe PDF | Ver/Abrir |