雙線性工業(yè)過程穩(wěn)態(tài)模型辨識新方法

】針對雙線性模型描述的工業(yè)過程的優(yōu)化控制的穩(wěn)態(tài)模型建立須在人為干擾很小的條件下進(jìn)行，提出了利用優(yōu)化過程中設(shè)定點(diǎn)的階躍信號作為輸入信息，在Fi為可逆矩陣的假設(shè)下，獲取其穩(wěn)態(tài)模型的辨識方法。該方法新穎、簡潔、精度高、對生產(chǎn)過程干擾少，仿真結(jié)果顯示了方法的有效性和實用性。
關(guān) 鍵 詞 雙線性; 辨識; 穩(wěn)態(tài)模型; 階躍信號

It is very key to build the steady-state models of the industrial processes. Using the step signals of set-points changes in the course of optimizing control as the input signals to identifying the steady-state models is good identification technique and reduces the disturbed to the processes. In this paper, a new identification technique to obtain the steady-state models is presented for the bilinear industrial processes. which uses the step signals of set-points changes in the course of optimizing control as the input step signals to identifying the steady-state models of industrial processes described by bilinear models ,is presented .The novel technique is simple ,high identification accurate and less disturb to the industrial processes .Finally ,the simulation results show that the new approach is very efficient and practical.