Noise resilient discrete-time cross-relation sensor characterisation
| Autor: | Robert Kee, Seán McLoone, Philip Gillespie, Daniel Gaida, Peter Hung |
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| Rok vydání: | 2016 |
| Předmět: |
Alternative methods
0209 industrial biotechnology Engineering business.industry Noise induced 010401 analytical chemistry 02 engineering and technology Hybrid approach 01 natural sciences Convexity Electronic mail 0104 chemical sciences 020901 industrial engineering & automation Discrete time and continuous time Robustness (computer science) Thermocouple Electronic engineering business Algorithm |
| Zdroj: | 2016 UKACC 11th International Conference on Control (CONTROL). |
| DOI: | 10.1109/control.2016.7737558 |
| Popis: | In-situ characterisation of thermocouple sensors is a challenging problem. Recently the authors presented a blind characterisation technique based on the cross-relation method of blind identification. The method allows in-situ identification of two thermocouple probes, each with a different dynamic response, using only sampled sensor measurement data. While the technique offers certain advantages over alternative methods, including low estimation variance and the ability to compensate for noise induced bias, the robustness of the method is limited by the multimodal nature of the cost function. In this paper, a normalisation term is proposed which improves the convexity of the cost function. Further, a normalisation and bias compensation hybrid approach is presented that exploits the advantages of both normalisation and bias compensation. It is found that the optimum of the hybrid cost function is less biased and more stable than when only normalisation is applied. All results were verified by simulation. |
| Databáze: | OpenAIRE |
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