Control of a class single-input single-output systems (SISO) described by linear vector difference equations with constant but unknown parameters is discussed. The minimum variance control for presented. A self-tuning regulator based on then proposed. It uses Recursive Least Squares (RLS) estimator and controller obtained directly from the current estimates.

In this paper, the Adaptive Generalized Predictive Control is designed to control a heat exchanger pilot plant. The standard (GPC) algorithm presented. then applied achieve set point tracking of output A Single Input Output (SISO) model used for purposes. parameters are estimated on-line using an identification based on Recursive Least Squares (RLS) method. performance proposed controller illustrated by simulation example Obtained results demonstrate effectiveness and superiority algorithm.

Small hydro power is one of the most important renewable energy in world. It does not encounter problem population displacement and as expensive solar or wind energy. However, small electrical generating units are usually isolated from grid network; thus, they require control to maintain constant for any working conditions. This paper presents a flow approach speed turbines. Power can be controlled by controlling amount volume water running into turbine. In this study, adaptive predictive...

In this paper, the Adaptive Generalized Predictive Control is designed to control a heat exchanger pilot plant. The standard (GPC) algorithm presented. then applied achieve set point tracking of output A Single Input Output (SISO) model used for purposes. parameters are estimated on-line using an identification based on Recursive Least Squares (RLS) method. performance proposed controller illustrated by simulation example Obtained results demonstrate effectiveness and superiority algorithm.

Non-minimum phase Multi-input Multi-Ouput (MIMO) systems are known to be difficult control. Model Predictive Control (MPC) algorithms powerful control design methods widely applied industrial processes. The handling of various input constraints in the MPC problem ARIMAX non-minimum MIMO is considered. This approach for quadruple tanks. However, there no easy way solve constraints. based on quadratic programming (QP) technique used constrained optimization problem. A comparative study...

Model Predictive Control (MPC) is an advanced method of controllers, explicitly uses model to obtain control signal. MPC popular in industry and academia because it capable deals with non-minimum phase, unstable, dead time multivariable processes, solves the problem constraints. integral action used this study for quadruple tank system by taking lower two tanks into account. The objective work design controlling level a process depending on type constrained problems. However, solve...

This paper provides the design steps of a multivariable Adaptive Generalized Predictive Controller AGPC whose duty is to drive micro-hydro power system that comprises hydraulic turbine driving synchronous generator which connected an infinite bus via step-up transformer and transmission line. The simulation model part turbine/generator micro-hydropower plant was constructed based on mathematical equations summarize behavior plant. Multivariable considered here because its wide use in...

The hydroelectric energy is one of the most important renewable in world. It does not encounter problem population displacement and as expensive solar or wind energy. However, hydro electrical generating units are usually isolated from grid network; thus, they require control to maintain constant power for any working conditions. simulation model hydropower plant was constructed based on mathematical equations that summarize behavior plant. useful stability studies. This paper, presents...