In this paper, Generalized Predictive Control (GPC) algorithm is applied to design automatic generation control (AGC) systems in deregulated and networked environment. The proposed AGC approach can be used to deal with the effects caused by power market and communication networks. Finally, the developed scheme is implemented in a two-area AGC system, and the simulation results show the effectiv...

Indirect iterative learning control (ILC) facilitates the application of learning-type control strategies to the repetitive/batch/periodic processes with local feedback control already. Based on the two-dimensional generalized predictive control (2D-GPC) algorithm, a new design method is proposed in this paper for an indirect ILC system which consists of a model predictive control (MPC) in the ...

Generalized Regression Neural Network (GRNN) is usually applied to the Function approximation. This paper, based on the principle of GRNN, presents a method for the predictive model of nonlinear complex system. The presented algorithm is applied to the learning and predicting process for the system modeling. The simulations show the described method has good effects on predicting the dynamic pr...

The present sought to draw a comparison between Model Predictive Control performance and two other controllers named Simple PI and Selective PI in controlling large-scale natural gas transport networks. A nonlinear dynamic model of representative gas pipeline was derived from pipeline governing rules and simulated in SIMULINK® environment of MATLAB®. Control schemes were designed to provide a s...

The paper briefly introduces examples of high-level model-based control ( Sliding Mode Control – SMC and Generalized Predictive Control – GPC ) applied to the redundant parallel robots. The objective is a presentation of using MATLAB – SIMULINK environment for real-time simulation and visualization of control of these robots. Implementation is accomplished by combination of C MEX S-Functions an...

-In this paper, the approach of Generalized Predictive Control (GPC) is applied to a multivariable model of the Dinorwig pumped storage hydroelectric power station. The response of the system with constrained predictive control is compared with the classic PI controller as currently implemented. The results show that GPC offers significantly better performance across the plant’s operating range...

In this paper, a nonlinear predictive controller is proposed for variable-speed induction motor. The research work directed towards improving the trajectory tracking capability, stability guarantee, robustness to parameter variations, and disturbance rejection. Generalized Predictive Control (GPC) without constraint output-constrained motor drive illustrated. variables be controlled are rotor s...