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众所周知,热动力系统在实际的工业控制中呈现出,所以非线性的温度控制模型也可以描述整个温控模型。传统的热动力温控模型的建立主要依靠非线性控制,其主要依靠PID线性模糊逼近的策略完成整个控制过程。但是随着控制过程的复杂性增加,PID线性模糊逼近模式已经无法对其进行准确描述。因此,本文提出了基于自适应控制优化的热动力系统建模与仿真方案,以求对整个系统进行准确的控制。
As we all know, thermodynamic system in the actual industrial control is presented, so the nonlinear temperature control model can also describe the entire temperature control model. The establishment of the traditional thermodynamic temperature control model relies mainly on nonlinear control, which mainly relies on PID linear fuzzy approximation strategy to complete the entire control process. However, as the complexity of the control process increases, the PID linear fuzzy approximation model can not accurately describe it. Therefore, this paper presents a thermodynamic system modeling and simulation scheme based on adaptive control optimization in order to accurately control the entire system.