DocumentCode :
724040
Title :
Real-time onlineCompensation the Nonlinearities and Uncertainties in missile servo control system
Author :
Zhang Kun Feng ; Rao Da Wei ; Zhu Jian Bo ; Duan Li Hua
Author_Institution :
Luoyang Optoelectron. Technol. Dev. Center, Luoyang, China
fYear :
2015
fDate :
23-25 May 2015
Firstpage :
1333
Lastpage :
1338
Abstract :
To restrain the influences of the nonlinearities and uncertainties in missile servo control systems, the active disturbance rejection control (ADRC) technique is introduced to real-time online estimate and compensate these factors. As to the problem of the difficulties in tuning ADRC parameters, an improved multi-objective genetic algorithm is adopted to solve the complete set of Pareto solutions for the control parameters, then a multi-criteria decision making algorithm based on utility function is chosen to determine the fittest solution. Then a test platform using TMS320C28346 floating-point DSP as control core is built to verify the research results. The experimental results show that the optimal ADRC parameter is appropriate for the servo control system. The system tracks the input commands smoothly and reliably, and has good robustness and adaptability to nonlinearities and parameters drifts. Also the strategy for tuning the ADRC parameters is practical and feasible.
Keywords :
Pareto optimisation; active disturbance rejection control; adaptive control; compensation; control nonlinearities; decision making; genetic algorithms; missile control; optimal control; servomechanisms; uncertain systems; ADRC parameters tuning; ADRC technique; Pareto solutions; TMS320C28346 floating-point DSP; active disturbance rejection control; adaptability; control parameters; missile servo control system; multicriteria decision making algorithm; multiobjective genetic algorithm; nonlinearities; optimal ADRC parameter; parameters drifts; real-time online compensation; real-time online estimate; robustness; uncertainties; utility function; Indexes; Mathematical model; Missiles; Optimization; Servosystems; Tuning; Active Disturbance Rejection Control; Multi-objective Genetic Algorithm; Nonlinearity and Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (CCDC), 2015 27th Chinese
Conference_Location :
Qingdao
Print_ISBN :
978-1-4799-7016-2
Type :
conf
DOI :
10.1109/CCDC.2015.7162125
Filename :
7162125
Link To Document :
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