Abstract
This paper describes a new multivariable self-tuning feedforward controller which minimizes a cost function incorporating the system output, control input, measurable disturbance and time varying referonce signal. The presented controller allows the best possible disturbance rejection, eliminates steady state error without an integrator and tracks time-varying reference signals. The approach of choosing the weighting matrices of the cost function is proposed. The new algorithm is more rational, simpler and gets better sevo performance than that of Koivo (1980). The effectiveness of the controller is demonstrated using several simulated examples.
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 callDisclaimer: 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.
