Problem statement: Power flow through an AC transmission line is influenced by three basic electrical parameters, which are line impedance, magnitudes and phase-shift angle between the sending and receiving voltages. Therefore, the change in any of the three basic parameters means a change in the power flow through the transmission line. The aims of this research paper are: increase the power transfer capability of transmission systems, minimize the transmission losses, support a good voltage profile and retain system stability under large disturbances. Study the use of eigenstructure techniques for state feedback control of the power system static compensator. Therefore, the mathematical analysis was performed for eigenvector assignment, power flow transmission line and for the static compensator analysis based on the transformation of the three-phase into d-q frame. Approach: A novel control method for regulating the power system in case of abnormal conditions was carried out. The system considered is a static synchronous compensator. The study includes a detailed mathematical analysis of the impact of the shunt compensator on the power flow; investigation of the system constraints and their effects on the static compensator control; in addition simulation of static compensator to control a transmitted active power flow on the transmission line. The conducted method provides a way of constructing the state feedback gain matrix to satisfy a certain prescribed performance. Results: The solutions of the obtained equation were conducted using the computer simulation method for both open-loop and static compensator techniques. The result shows fast tracking of the power flow transient response when using the static compensator technique comparing with open-loop technique. However, the same trend of the behavior was observed for all cases. Conclusion: A new method for developing a parameterized feedback matrix that assigns a closed-loop prespecified set of eigenvalues was obtained. It improves the overall system performance and yields a class of controllers contributing uniformly to the assignment process. The voltage could be kept constant independent of the loads with static compensator. The results show clearly the applicability of the proposed control scheme which is acceptable for the static compensator.

The results of decoding and genetic programs of structuration analysis of hybrid electromechanical systems are generalized in this paper. Authors established the determined interrelations between genetic programs, structure of periods and groups in periodic generating system of electromagnetic field primary sources, genetic codes of hybrid chromosomes, the taxonomical and functional variety of developing electromechanical objects of hybrid type. The quantitative structure and properties of genetically admissible variety of hybrid Types of electromechanical objects are defined. The results of evolutionary experiments confirming reliability of predictive function of genetic programs are given in this article.

In this paper the interconnected genetic models defining algorithms of intrageneric synthesis of hybrid electromechanical structures are considered. The authors analyze the space of admissible crossing and define the variety of genetically admissible classes of hybrid structures. The recommendations about the use of models in problems of a structural prediction and innovative synthesis of new versions of hybrid electromechanical objects are given.

This paper considers the fuzzy control of a non-linear dynamic system. The approach is known to be model-free and utilizes the field experience with running and supervising the process by human expertise. The advices given by the expert for proper running of these systems are given in the form of recipes full of linguistics. These linguistics can be turned into linguistic variables with limited sets of labels by the designer and to be the primitive seeds for what is called knowledge base. This base is kept in the memory of a computer unit. Assume that a running condition is given and has to be transferred into equivalent linguistic variables, in order to use the knowledge base and induce the output in a form of linguistic variables. Knowing that the linguistic variables is the same as fuzzy variables, the process of a fuzzy control can be stated as the three step procedure, a fuzzification stage, an inference stage, and finally a defuzzification stage, in which a crisp value is obtained for the process control input. The defuzzification stage is not unique and different techniques have been proposed in the literature. Starting from the centroid method up to the maximum principle method, the methods vary between themselves in complexity and time consumed by the computer unit. This, in turn, could result in different time responses for the given nonlinear dynamic systems. The paper concentrates on the effect of the defuzzification techniques on the transient response of a DC shunt motor taken as a model example of non-linear systems. A comparative study is given supported by computer simulation for each case.

This paper presents the application of intelligent control in the induction motor drive. In this paper, a strategy for induction motor speed control is proposed. This strategy is based on a new control stator current strategy. The proposed technique is based on the principle that the flux level in a machine can be adjusted to give the required performance for a given value of speed and load torque. The main advantage of the proposed technique is its simple structure. The optimum flux level is a function of the machine load and speed requirements. The proposed strategy with the method of operation under the condition of constant voltage to frequency ratio and field oriented control is achieved. Digital computer simulation results are obtained to demonstrate the effectiveness of the proposed method.