A model-based augmented PID algorithm

For complex control problems, advanced techniques, such as model-based predictive control may give better control performance than the common PID controller. However, the extra complexity and limited support of control software especially at the distributed control system (DCS) level, may prohibit the application of advanced algorithms. Also, implementing model based control often requires a higher level of programming than is readily available at the DCS level. This paper addresses this problem by providing a control algorithm utilizing multiple DCS PID blocks to implement a model-based predictive control strategy. The approach was tested on process simulations and the algorithm was able to provide control performance similar to that of generalized predictive control.