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| Simulation and Identification of Reactor Temperature Model for Energetic Materials |
| Received:June 04, 2018 Revised:November 25, 2018 |
| View Full Text View/Add Comment Download reader |
| DOI：10.7643/ issn.1672-9242.2018.11.016 |
| KeyWord:temperature model reactor segmentation time-varying mutation forgetting factor Recursive Least Squares (RLS) |
| Author | Institution |
| CHEN Chong |
1. College of Mechanical Engineering, Chongqing University, Chongqing , China |
| WANG Dong-lei |
2. Institute of Chemical Materials, China Academy of Engineering Physics, Chengdu , China |
| JIANG Pei |
1. College of Mechanical Engineering, Chongqing University, Chongqing , China |
| YIN Ai-jun |
1. College of Mechanical Engineering, Chongqing University, Chongqing , China |
| ZHANG Zhi-yu |
1. College of Mechanical Engineering, Chongqing University, Chongqing , China |
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| Abstract: |
| Objective To verify the correctness and effectiveness of method for identifying temperature prediction model of the reactor with energetic materials based on Forgetting Factor Recursive Least-Squares (FFRLS) algorithm. Methods Firstly, the system model was segmented based on the mechanism modeling method, and its specific structure was obtained. Then, combined with historical data, FFRLS was used to identify the parameters of the system model, and finally the reactor temperature simulation model of energetic material was obtained. Results The correctness and effectiveness of the method were verified on the Matlab simulation platform. In this method, the Root Mean Square Error (RMSE) of the time-varying model parameters was less than 10%. When the model parameters were mutated, the minimum RMSE of the parameters was 5.89% and the maximum RMSE was 18.69%. Conclusion This method can accurately and effectively identify the reactor temperature model of energetic materials. |
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