Whether you’re implementing a new Model Predictive Control (MPC) project or maintaining an existing MPC application, model identification is the most difficult, time consuming, and labor-intensive part of the process. A traditional plant test can take weeks of around-the-clock work to complete since the test is conducted manually, one variable at a time. For years, industry has been searching for a method to deploy MPC faster with lower costs and less support, while maintaining safe and effective plant operation. Now there’s a solution.
ProcessDoctor: Tai Ji provides an alternative to traditional step testing and model identification methods that reduces test time by up to 70% and reduces analysis and model identification time by 90%, resulting in significant cost savings for implementing and maintaining MPC applications. ProcessDoctor: Tai Ji module is based on Dr. Yucai Zhu's industry-proven Tai-Ji ID technology and automates the identification process from test design to model validation.