Studies on helicopter flap control have been started
Faculty members and researchers from departments of Electrical and Electronics Engineering, Computer Engineering and Mechanical Engineering have joined in the group to study in helicopter flap control project. The subject discussed during a couple of meetings and a road map established. The project have been categorized into subsections and assigned to the researcher to establish a study point where to start. After a literature review, developments of new control ideas and approaches on flap control have been selected as the major topic to be studied by the group members.
After four meetings, it has been decided to move along and see the improvement in the studies before developing a large scale project. This special working group in POWENCON to study on helicopter flap control includes one Prof., one Assoc. Prof., three Asst. Prof., and eight Research Assistants. This special working group meets regularly to discuss the progress made. 

Electricity from wave energy Due to its irregular and unpredictable characteristics, the wave energy system (WES) causes random energy discontinuities. The studies dealing with this problem are usually focused in developments of wave energy turbines. The effects of the wave irregularities are eliminated with the studies on mechanical structure of wave energy turbines. Studies on eliminating irregular wave effects on electrical power side also exist in literature. However, these studies are usually done using regular wave characteristics without detailed data on wave irregularity.
Within the scope of this project, a smallscale WES prototype will be established in laboratory and the effects of the irregular wave behaviors over generated electric power will be considered. In order to eliminate the irregular wave effects on electrical power side, a power compensator have been developed. In order to maintain power sustainability, an intelligent energy management approach is also proposed in this study. 

Photovoltaic Energy Systems
The utilization of photovoltaiv (PV) energy systems is one of the important topics that is studied in POWENCON group.
PV modelling, maximum power point tracking, energy storage, control of the power flow from PV systems to load or utility grid, power quality, development of power filters and power conditioners, energy management, energy sustainability, and installation of small or large PV power systems are the major topics studied by the researchers in POWENCON. 

Power system dynamics and control
LoadFrequency (LF) control is an important task in electrical power system design and operation. Since the load demand varies without any prior schedule, the power generation is expected to overcome these variations without any voltage and frequency instabilities. Therefore voltage and frequency controllers are required to maintain the generated power quality in order to supply constant voltage and frequency to the utility grid. The frequency control is done by loadfrequency controllers, which deals with the control of generator loadings depending on the frequency. Similarly, a loadfrequency controller has to be used in each area of multiarea power systems. The multi area power systems consist of many variables affecting the system stability in different areas. Therefore the controller designed for LF control has to overcome the negative effects of system variables. The increasing interest and development in intelligent control techniques have become a solution to the control problems in power systems. Due to its ability being be able to model human decision making process and represent vague and uncertain data, the fuzzy logic based controllers have become an attractive choice in solving power system control problems. Power system dynamics and control is one of the project topics in POWENCON. The researchers in the group try to find alternative and better solutions to the control problems in power systems. 

Fuzzy Logic Control (FLC)
Fuzzy set theory is a theory about vagueness and uncertainty. This theory provides a methodology that allows modeling of the systems that are too complex or not well defined by mathematical formulation. Fuzzy logic controllers based on fuzzy set theory are used to represent the experience and knowledge of a human operator in terms of linguistic variables that are called fuzzy rules. Since an experienced human operator adjusts the system inputs to get a desired output by just looking at the system output without any knowledge on the systemâ€™s dynamics and interior parameter variations, the implementation of linguistic fuzzy rules based on the procedures done by human operators does not also require a mathematical model of the system. Therefore a fuzzy logic controller (FLC) becomes nonlinear and adaptive in nature having a robust performance under parameter variations with the ability to get desired control actions for complex, uncertain, and nonlinear systems without the requirement of their mathematical models and parameter estimation. Fuzzy logic based controllers provide a mathematical foundation for approximate reasoning, which has been proven to be very successful in a variety of applications. In modern control techniques, uncertainty and vagueness have a great amount of importance to be dealt with. The use of membership functions quantified from ambiguous terms in fuzzy logic control rules has given a pulse to speed up the control of the systems with uncertainty and vagueness. . Fuzzy Logic Control studies are done in POWENCON and applied to many projects. The studies include developing software, improving the effects and performance of FLC, developping rules and adaptive structures are some of the areas that are included in our studies. 
