Control quality loss in analytical control of input-constrained processes
Control quality loss in analytical control of input-constrained processes
复制标题
控制输入受限过程的分析控制中的质量损失
DOI：
10.1021/ie0601347
复制
发表时间：
2006
影响因子：
4.2
通讯作者：
Yiannis Dimitratos
中科院分区：
文献类型：
--
作者：
M. Soroush;Felix S. Rantow;Yiannis Dimitratos
自从模型预测控制（MPC）被引入以来，控制实践者一直面临着这样一个问题：MPC应该对哪类过程实施？MPC提供了在存在或不存在约束的情况下最优的控制序列。然而，它需要（i）数值求解一个约束优化问题反复在线和（ii）足够可靠的模型。或者，可以实施分析控制，例如比例-积分-微分（PID）控制和微分几何控制，其不需要在线优化，但通常不能提供最佳性能。本文提出了一个回答以下问题：对于什么样的过程可以分析控制提供的控制质量是接近最佳控制质量的MPC可以提供？在这里，一个分析控制器被定义为一个其实现不需要解决一个约束优化问题的数值。A measure that qu.
Since the introduction of model predictive control (MPC), control practitioners have been faced with the following question: for what class of processes MPC should be implemented? MPC provides a control sequence that is optimal in the presence or absence of constraints. However, it requires (i) numerically solving a constrained optimization problem repeatedly on-line and (ii) an adequately reliable model. Alternatively, one can implement analytical control, such as proportional−integral−derivative (PID) control and differential geometric control, which does not require the on-line optimization but generally cannot provide the optimal performance. This paper presents an answer to the following question: for what class of processes can analytical control provide control quality that is close to the optimal control quality that MPC can provide? Here, an analytical controller is defined as the one whose implementation does not require solving a constrained optimization problem numerically. A measure that qu...