Design of PI controllers based on non-convex optimization
Automatica (Journal of IFAC)
Optimal sliding-mode control scheme for the position tracking servo system
WSEAS TRANSACTIONS on SYSTEMS
System approach to synthesis, modeling and control of complex dynamical systems
WSEAS Transactions on Systems and Control
Robust performance characterization of PID controllers in the frequency domain
WSEAS Transactions on Systems and Control
Dynamic behavior of closed grinding systems and effective PID parameterization
WSEAS Transactions on Systems and Control
Modeling of raw material mixing process in raw meal grinding installations
WSEAS Transactions on Systems and Control
WSEAS Transactions on Systems and Control
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The objective of the present study is to use a reliable model of the raw meal mixing process dynamics in raw meal production installations, in order to tune effectively PID controllers, thus regulating the product's quality. The system is described by a TITO process. The M - Constrained Integral Gain Optimization (MIGO) loop shaping method is utilized to adjust the controller parameters. Long term actual industrial data are used for this purpose while the controller robustness is also investigated. Taking into account the maximum sensitivity constraint and the model uncertainty the controller is parameterized and implemented to industrial raw meal production units by replacing previous controllers or manual regulation. The results indicate remarkable enhancement of the raw meal homogeneity fed to the kiln. Therefore the tuning methodology applied provides effective PID controllers, able to attenuate the disturbances affecting the raw meal quality.