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Application of Improved Neural Adaptive PSD Algorithm in Temperature Control of INS
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作者 缪玲娟 郭振西 崔燕 《Journal of Beijing Institute of Technology》 EI CAS 2004年第2期157-160,共4页
A neural adaptive proportion sum differential (PSD) algorithm with errors prediction is researched. It is applied in inertial navigation system(INS) temperature control. The algorithm do not need the process's pre... A neural adaptive proportion sum differential (PSD) algorithm with errors prediction is researched. It is applied in inertial navigation system(INS) temperature control. The algorithm do not need the process's precise mathematical model and can adapt to the process parameters changing, and can deal with the process with nonlinearity. According to the Smith predictor, author developed a method that takes the predicted process error and error change as neural adaptive PSD algorithm's input. The method is effective to the system with long dead time. The results of compute simulation show that this system has characters of quickly reaction, low overshoot and good stability. It can meet the requirements of temperature control of INS. 展开更多
关键词 temperature control inertial navigation system (INS) psd control neural control
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