APC, BluESP (Pty) Ltd, PO Box 1244, Jukskei Park 2153, South Africa.
ISA Trans. 2012 Sep;51(5):657-64. doi: 10.1016/j.isatra.2012.05.006. Epub 2012 Jun 12.
Traditionally the tuning of dynamic matrix control (DMC) type multivariable controllers is done by trial and error. The APC engineer chooses arbitrary starting values and tests the performance on a simulated controller. The engineer then either increases the values to suppress movement more, or decreases them to have the manipulated variables move faster. When the controller performs acceptably in simulation, then the tuning is improved during the commissioning of the controller on the plant. This is a time consuming and unscientific exercise and therefore often does not get the required attention. This leads to unacceptable controller behaviour during commissioning and sub-optimal control once commissioning is completed. This paper presents a new method to obtain move suppression factors for DMC type multivariable controllers by using a Nelder Mead search algorithm to find move suppressions that will provide acceptable control behaviour. Acceptable behaviour is described by characterising the dynamic move plan calculated by the controller for each of the manipulated variables.
传统上，动态矩阵控制（DMC）型多变量控制器的整定是通过反复试验来完成的。APC 工程师选择任意起始值，并在模拟控制器上测试性能。然后，工程师要么增加值以进一步抑制运动，要么减小值以使被控变量更快地移动。当控制器在模拟中表现良好时，然后在工厂的控制器调试过程中改进整定。这是一项耗时且不科学的工作，因此通常不会得到所需的关注。这导致在调试过程中控制器行为不可接受，一旦调试完成，控制效果也不是最佳的。本文提出了一种新的方法，通过使用 Nelder-Mead 搜索算法来获得 DMC 型多变量控制器的移动抑制因子，以找到提供可接受控制性能的移动抑制因子。可接受的行为是通过描述控制器为每个被控变量计算的动态移动计划来描述的。
