Development and implementation of real-time intelligent controllers for automation and power industry

This research work involves the development and implementation of intelligent controllers for industrial automation and power utilities. This was targeted at three major and dynamic industrial applications namely: (1) Power electronics, (2) Electric drives, and (3) Power systems.; A fuzzy logic controller has been implemented for dc-dc switching converters which experimentally evaluates its sensitivity for variable supply voltages and load resistance variations. The optimum topology of the controller structure was determined experimentally. To take advantage of the learning capability of neural networks, a novel control topology of adaptive network-based fuzzy inference system (ANFIS) for control of the DC-DC converter was developed. The controllers were compared experimentally with a proportional and integral (PI) controller commonly used in industry.; Part of the research work is the development and implementation of an embedded hybrid h-infinity and adaptive fuzzy controller for trajectory tracking of a brushless servo drive system (BEDS). The fuzzy logic controller is equipped with an adaptive law based on Lyapunov synthesis approach to compensate for system uncertainty and random changes in the external load acting on the drive system. The proposed control structure was experimentally verified via state-of-the-art dSPACE DS1104 digital signal processor board.; As an application to power networks, a multi-layer fuzzy logic controller (MLFC) is proposed for the transient stability enhancement of the electric power system making use of a dynamic resistor braking strategy. The proposed controller has two layers: The first layer termed the supervisory layer which specifies the region of operation of sub-controllers within the second layer called the execution layer. The scheme was tested on: (1) a nine bus system with three generators and three loads, and (2) a ten bus test system with four generators and three loads from the Institute of Electrical and Electronics Engineers (IEEE).