A novel design of an adaptive neuro fuzzy inference strategy (ANFIS) for controlling some of the parameters, such as speed, torque, flux, voltage, current, etc. of the induction motor is presented in this paper. Induction motors are characterized by highly non-linear, complex and time-varying dynamics and inaccessibility of some of the states and outputs for measurements. Hence it can be considered as a challenging engineering problem in the industrial sector. Various advanced control techniques has been devised by various researchers across the world. Some of them are based on the fuzzy techniques. Fuzzy logic based controllers are considered as potential candidates for such an application. Fuzzy based controllers develop a control signal which yields on the firing of the rule base, which is written on the previous experiences & these rules are fired which is random in nature. As a result of which, the outcome of the controller is also random & optimal results may not be obtained. Selection of the proper rule base depending upon the situation can be achieved by the use of an ANFIS controller, which becomes an integrated method of approach for the control purposes & yields excellent results, which is the highlight of this paper. In the designed ANFIS scheme, neural network techniques are used to select a proper rule base, which is achieved using the back propagation algorithm. This integrated approach improves the system performance, cost-effectiveness, efficiency, dynamism, reliability of the designed controller. The simulation results presented in this paper show the effectiveness of the method developed & has got faster response time or settling times. Further, the method developed has got a wide number of advantages in the industrial sector & can be converted into a real time application using some interfacing cards.
The growth of industries is very essential for the growth of any nation. Industries are mainly depending on electrical energy, but unfortunately the sources for electrical energy are depleting and hence the gap between the supplier and the load is continuously increasing. The work presented in this paper gives the results of application of a few DSM techniques along with batteries applied to an industrial customer. The work presented in this paper is lowering the maximum demand during peak hours and savings in the energy bill has been achieved by avoiding the penalty charges on MD. Application of few DSM techniques and batteries results in clipping down the peaks and filling the valleys that flattens the load curve of a milk industry, hence a great improvement in the load factor and savings in the energy bill for the consumers.
The design, Fabrication of 1Kvar 1-phase fixed capacitor-thyristor controlled reactor (FC-TCR) type SVC based on microcontroller have been developed in the laboratory for SMSL(Single Machine Single Load) Test System. The test system is setup in the laboratory with a 3-phase Synchronous Machine of 5kva capacity and a 1-phase Induction Motor of 1HP Rating. Brake test have been performed on the Induction Motor by taking the supply from one of the phases of Synchronous Generator. The bus voltage is fall down from 230 V to 195 V on Full Load. Automatic control circuit Hardware of this SVC have been designed and fabricated based on Microcontroller LPC 2148 chip, the most modern industrial controller. The same test system also has been tested with SVC automatic control circuit and experimental results have been presented in this paper. The P-V Curves of the SMSL Test system with and without SVC Control have been plotted which shows the effectiveness of Automatic control of SVC on Voltage Stability enhancement.
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