Grate boilers are widely used as active steam generation. This paper presents the principles for modeling the grate boiler, simulation is developed on the basis of process experiments .This paper further propose a control system for supply split range(the overheat steam temperature overheat steam pressure)be used compare fuzzy logic and the PID .This work is performed in order to foster and promote unbiased and accurate comparison of fuzzy logic control design methodologies . we are motivation to execute this study by robustness to plan perturbation of the fuzzy logic control .We concluded fuzzy logic control can be a useful tool for the control engineer in the particularly of the grate boiler.
Generalized predictive control (GPC) is nowadays, widely ,spread in control theory as well as in the industrial world. Generalized predictive control (GPC) belong to this family has been demonstrated as a powerful controlling process plants, In this work a polynomial approach of generalized predictive control is proposed whose aim to find optimal values for the tuning control and application of predictive control with polynomial form RST and application of induction motor and developed prediction optimal equation with cost function and resolved of the Diophantine equations this application is reserved in our work for the induction motor with example of a dynamic system and non linear multivariable with load torque.
In this paper, a nonlinear predictive controller is proposed for a variable-speed induction motor. The research work is directed towards improving the trajectory tracking capability, stability guarantee, robustness to parameter variations, and disturbance rejection. The Generalized Predictive Control (GPC) without constraint and output-constrained controller to induction motor drive is illustrated. The variables to be controlled are rotor speed and flux trajectory. The load torque is considered an unknown disturbance. Finally, the tuning parameter of GPC is automatically determined. The simulation results show a good performance for the nonlinear dynamic system.
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