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A Research on the Construction and Dynamic Optimization of Models Set for the Multiple Models Adaptive Control

Author: FangFei
Tutor: ZhouYunSen
School: Nanjing University
Course: Control Science and Engineering
Keywords: Multiple model adaptive control Collections Switch Dynamic Optimization
CLC: TP273.2
Type: Master's thesis
Year: 2011
Downloads: 116
Quote: 0
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Abstract


The multiple model adaptive control is the use of multi - model approach , combined with adaptive control tracking technology , can effectively improve the control performance of the system in the case of controlled object parameter mutation . Traditional adaptive control starting on the convergence rate is relatively slow , the mutated condition and can not effectively deal with the structure and parameters of the system . Introducing multiple fixed models , with a particular switch , speed up the convergence speed of the system parameters change in time , at the same time can approach the complexity of the system and the non-linear , and thus better control effect . Multiple model adaptive control of a difficulty lies in the establishment and optimization of the model set . The multi- model brings better control precision , the increase of the number of models has brought more computational overhead affect the dynamic performance of the system . Charged with the more complex object , the greater the range of parameter changes , the more the number of models close to the real model . In the case of the same model number , how to more effectively cover the entire region of parameter changes , while also ensuring the accuracy of the system 's control , to effectively reduce the computational cost , is one of the main research directions of multi- model adaptive control . Based on multiple model adaptive control theory , the reproduction of the advantages of multi - model adaptive control with respect to traditional adaptive control . Different kinds of adaptive control introduced to the model set to start from the model set and fixed model to optimize restructuring Finally, the proposed the transmission switching based adaptive control model parameters , combined with the partition of the model set technology to improve the output performance of the controlled object . Through simulation, under the same circumstances in the number of models , covering a region of the parameter changes , and to give better control performance .

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CLC: > Industrial Technology > Automation technology,computer technology > Automation technology and equipment > Automation systems > Automatic control,automatic control system > Adaptive ( self- tuning ) control,adaptive control ( self-tuning ) system
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