DocumentCode :
2096791
Title :
Real-time correction for sensor´s dynamic error based on DSP
Author :
Wu, Jian ; Zhang, Zhijie ; Dong, Ganggang ; Wang, Wenlian
Author_Institution :
Key Lab. of Instrum. Sci. & Dynamic Meas., North Univ. of China, Taiyuan, China
fYear :
2011
fDate :
10-12 May 2011
Firstpage :
1
Lastpage :
6
Abstract :
In order to realize real-time correction for sensor´s dynamic error, a novel test system is designed. In this design, TMS320F2812 DSP is adopted for data acquisition and storage, the dynamic compensation algorithm is used for data processing. In this paper, the dynamic compensation algorithm is based on Particle Swarm Optimization(PSO), with this algorithm a dynamic compensator can be realized without knowing the dynamic characteristics of the sensor, the parameters of the compensator is optimized using PSO algorithm according to the step response of the sensor and the reference model. The test system is adopted for sampling data from simulator of sensor, the results show that the system does not only sample and store data accurately, but also corrects the dynamic error caused by simulator of sensor.
Keywords :
data acquisition; digital signal processing chips; electric sensing devices; error correction; particle swarm optimisation; sampling methods; PSO algorithm; TMS320F2812 DSP; data acquisition; data processing; data sampling; data storage; dynamic compensation algorithm; dynamic compensator; dynamic error; particle swarm optimization; real-time correction; sensor dynamic error; sensor simulator; test system; Digital signal processing; Equations; Frequency measurement; Heuristic algorithms; Mathematical model; Particle swarm optimization; Real time systems; DSP; Particle Swarm Optimization; real-time correction; test system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Instrumentation and Measurement Technology Conference (I2MTC), 2011 IEEE
Conference_Location :
Binjiang
ISSN :
1091-5281
Print_ISBN :
978-1-4244-7933-7
Type :
conf
DOI :
10.1109/IMTC.2011.5944126
Filename :
5944126
Link To Document :
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