Abstract
In chemical plants and other process industries, desired conditions are achieved by adjusting controllers. However, it is difficult to obtain the desired control response because most of the controllers use fixed Proportional-Integral-Differential (PID) control. On the other hand, the internal model control method, in which the control target is described by a detailed mathematical expression, has been proposed. The internal model control is simple to control system structure and is characterized by high robust stability against uncertainties of the control target. However, there are few examples of applying internal model control to nonlinear systems. In this paper, we propose a new method for designing an internal model control system that constructs multiple local linear models for a nonlinear system and adjusts the system parameters corresponding to the models. The effectiveness of the proposed method is verified through experiments.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Journal of Robotics, Networking and Artificial Life
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
