Design and Simulation of Heat substation Controller based on Neural Network-Fuzzy PID Control
Addressing the issue of coupling between quality and quantity channels as well as control model timevarying characteristic in heat substation, a novel structure of heat substation controller based on neural network-fuzzy PID control is proposed. We established a control model of quality and quantity by using on-site collected step response data and least squares method. On this basis, simulation experiments were carried out to the designed controller. Simulation result shows that satisfactory performances can be obtained using the designed controller in the decoupling of quality and quantity channel as well as reducing impacts of control model time-varying.
heat substation controller neural network fuzzy-PID control simulation
Weijie Wang Xiaotong Huang Wentao Huang
School of Mechatronics Engineering Harbin Institute of Technology Harbin, China
国际会议
杭州
英文
238-241
2011-08-26(万方平台首次上网日期,不代表论文的发表时间)