The results of simulation show that this intelligent controller can control the reactor core during load following operations, using optimum control rod groups manoeuvre and variable overlapping strategy.
A model-based controller (Dynamic Matrix Control) and an intelligent controller (Fuzzy Logic Control) have been designed and implemented for steam temperature regulation of a 300 MW thermal power plant.
This work applies a novel model free intelligent controller to control wheeled inverted pendulums (WIPs).
In a further work by Chiu et al. [6, 7], a novel model-free intelligent controller to control WIPs has been developed.
To achieve a fast and stable response for real power control, the intelligent controller consists of an RBFNSM and a GRNN for MPPT (maximum power point tracking) control.
To achieve a fast and stable response for the power control, the intelligent controller consists of a RBFNSM and a GRNN for maximum power point tracking (MPPT) control.
This paper also proposes a new design of intelligent controller for load frequency control of interconnected deregulated power systems with energy storage devices using Artificial Cooperative Search algorithm.
Once a fault is detected, the proposed intelligent controller will adjust its control signal to compensate for the unknown system failure dynamics by using an artificial neural network as an on-line estimator to approximate the unexpected and unknown failure dynamics.
The design of the intelligent controller is based on the optimal control theory, the adaptive neural network system, and the robust control technique.
So strong mathematical trappings is used in advanced control strategies to design an intelligent controller which can meet the expectations of dealing plant to have a adequate enactment.
In order to improve the resulting poor performances a new model-free control setting and its corresponding "intelligent" controller are introduced.
