A Control Method for Time-delay System Using Improved Genetic Algorithm and Adaptive Smith Predictor
Considering unknown systems with time-delay, a neural network approach for on-line parameter estimation is presented. The unknown steady-state gain and time-delay of the systems are estimated on-line by neural network, and they are used to modify parameters of Smith predictor in real-time. An improved genetic algorithm is proposed in this paper. This algorithm is an on-line technique, and is used to automatic tuning the gain and the three learning rates of the neuron controller in real-time. This method can be applied for slow time-varying and uncertainty systems with time-delay. Simulation results show that the method is efficient and practical.
Smith predictor parameters estimation genetic algorithm 1
Li Hongxing Luo Bingzhang
Automation College, Beijing Union University, Beijing 100101 Department of equipment, Shanghai Maglev Transportation Development Co., Ltd., Shanghai 201204
国际会议
北京
英文
2007-08-05（万方平台首次上网日期，不代表论文的发表时间）