O. P. Malik
Department of Electrical and Computer Engineering, University of Calgary
[ 1 ] - Studies with a Generalized Neuron Based PSS on a Multi-Machine Power System
An artificial neural network can be used as an intelligent controller to control non-linear, dynamic system through learning. It can easily accommodate non-linearities and time dependencies. Most common multi-layer feed-forward neural networks have the drawbacks of large number of neurons and hidden layers required to deal with complex problems and require large training time. To overcome these...
[ 2 ] - A Microprocessor-Based Hybrid Duplex Fault-Tolerant System
Reliability is one of the fundamental considerations in the design of industrial control equipment. The microprocessor-based Hybrid Duplex fault-tolerant System (HDS) proposed in this paper has high reliability to meet this demand although its hardware structure is simple. The hardware configuration of HDS and the fault tolerance of this system are described. The switching control strategies in...
[ 3 ] - Application to Adaptive Control to Synchronous Machine Excitation
Self-tuning adaptive control technique has the advantage of being able to track the system operating conditions so that satisfactory control action can always be produced. Self-tuning algorithms can be implemented easily. Because the power systems are usually time varying non-linear systems and their parameters vary, adaptive controllers are very suitable for power systems. Characteristics of a...
[ 4 ] - FOA: ‘Following’ Optimization Algorithm for solving Power engineering optimization problems
These days randomized-based population optimization algorithms are in wide use in different branches of science such as bioinformatics, chemical physics andpower engineering. An important group of these algorithms is inspired by physical processes or entities’ behavior. A new approach of applying optimization-based social relationships among the members of a community is investigated in this pa...
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