Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5004344 | ISA Transactions | 2016 | 10 Pages |
Abstract
â¢Nonlinear control requires a model, often developed with nonlinear regression.â¢Model predictive control (MPC) needs to optimize the time-sequence of future manipulated variable inputs to the model.â¢This work uses a novel Leapfrogging optimizer for both applications, andâ¢Demonstrates nonlinear MPC on a pilot-scale heat exchanger.
This work reveals the applicability of a relatively new optimization technique, Leapfrogging, for both nonlinear regression modeling and a methodology for nonlinear model-predictive control. Both are relatively simple, yet effective. The application on a nonlinear, pilot-scale, shell-and-tube heat exchanger reveals practicability of the techniques.
Related Topics
Physical Sciences and Engineering
Engineering
Control and Systems Engineering
Authors
Upasana Manimegalai Sridhar, Anand Govindarajan, R. Russell Rhinehart,