Nonlinear and Adaptive Control of Chemical Processes

非线性化学过程的自适应控制对这些过程的有效运行具有重要意义。在这项工作中，目前的自适应控制理论之一将在团队水热交换器，涓流床反应器和模拟吸收器上进行测试。所采用的自适应控制理论通过拟线性化描述系统的稳态方程或稳态数据来逼近系统的非线性。采用一种新的变遗忘因子算法对慢时变过程参数进行估计，采用扩展水平控制算法对时滞未知且无最小相位特性的系统进行稳定。

Adaptive control for nonlinear chemical processes is important for the efficient operation of these processes. In this effort, one of the current adaptive control theories will be tested on a team-water heat exchanger, a trickle bed reactor, and a simulated absorber. The adaptive control theory used approximates the system nonlinearities by quasi-linearizing the steady state equations or steady state data describing the system. Slowly time varying process parameters are estimated by a novel variable forgetting factor algorithm and systems with unknown delay times and no minimum phase characteristics are stabilized by an extended horizon control algorithm.