Nonlinear and Adaptive Control of Chemical Processes

非线性化工过程的自适应控制是实现化工过程控制的重要手段。 这些过程的有效运行。 在这一努力中， 目前的自适应控制理论将在一个团队中进行测试-热水器 换热器、滴流床反应器和模拟吸收器。 的 所用的自适应控制理论通过以下方式近似系统的非线性： 准线性化稳态方程或稳态数据 描述系统。 缓慢时变的工艺参数是 一种新的可变遗忘因子算法和系统 具有未知的延迟时间和没有最小相位特性， 通过扩展时域控制算法稳定。

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.