Sentence examples for multivariable controllers are from inspiring English sources
In this part of the paper, linear and nonlinear multivariable controllers are designed for the air stream and hydrogen flow with recirculation in a proton exchange membrane (PEM) fuel cell system.
Multi-loop and multivariable controllers are designed to realize the operation policy and their performances are compared through simulations to show a clear advantage of the multivariable control system.
Traditionally the tuning of dynamic matrix control (DMC) type multivariable controllers is done by trial and error.
Furthermore, the problem of selecting proper weights in forming quadratic integral performance indices in designing optimal multivariable controllers is addressed.
The proposed method for designing multivariable controller is based on ideal decoupler D s) and PID controller optimization under constraints on the robustness and sensitivity to measurement noise.
A switching plasma shape multivariable controller was designed by the H∞ robust loop-shaping approach for magnetic field at X-point and poloidal fluxes on plasma separatrix (isoflux control).
Considering the particular polynomial parametric dependence of the LPV model, a multivariable controller is designed using an affine LPV descriptor representation of the system and specific linear matrix inequalities.
Since tension and looper control is the key to successful operations in the hot strip finishing mill, several multivariable controllers have been proposed for it.
Finally, multivariable H∞ controllers are presented, with and without integrator, applied to winding systems and determined by a bilinear matrix inequality (BMI) approach.
For the delay compensated system, centralized multivariable PI controllers are designed by an extended version of Davison method with a pseudo inverse for the steady-state gain matrix.
As a novel evolutionary algorithm inspired from statistical physics and co-evolution, extremal optimization (EO) has successfully applied to a variety of optimization problems while the applications of EO into the design of multivariable PID and PI controllers are relatively rare.
