This paper proposes a convenient power electronic circuitry with a control approach for the flywheel replacement of an induction motor. The proposed control approach is the joined execution of grasshopper optimization algorithm and recurrent neural network based on duty ratio controller and hence the proposed work is named grasshopper optimization with recurrent neural network. The main contribution of this work is, the power electronic circuitry gets the input voltage samples and limits the deviation to appraise the instantaneous torque demand. The required voltage for the instantaneous torque demand is produced by the proposed control technique. In the proposed grasshopper optimization with recurrent neural network technique, the grasshopper optimization algorithm is a meta-heuristic population-based algorithm, which works from the perspective of the swarming behavior of grasshoppers in nature. In the proposed system, the recurrent neural network learning procedure is improved by the grasshopper optimization algorithm in the perspective of the minimum error objective function. the proposed grasshopper optimization with recurrent neural network technique optimizes the inverter switching states by limiting the error between the setpoint torque and the demand torque regarding objective function. With this proposed technique, the unbalance between demand torque and generated torque is found with high precision and the quicker execution to pull back out the torsional pulsation insensitive load linked transmission systems. By utilizing the proposed methodology, the extreme fluctuation of load torque due to peaky loads in an induction motor will be detected accurately. Also, the proposed technique reduces the torsional vibrations, weakness in components and minimizes the outages of uninterrupted production leading to higher profits. The proposed strategy is actualized in the MATLAB/Simulink platform and evaluated their performance. The performances are appeared differently compared with the existing methods.

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It is felt highly probable to eliminate flywheel from the design of any process machine in general and for process machines with a certain demand torque characteristics in particular. It is felt that by proper interfacing of power electronic devices this may be possible. Elimination of flywheel from process machines helps reducing torsional vibrations in the power transmission system of any process machine. This should reduce fatigue in the components of power transmission system thereby prolonging equipment functional failure. Down time will be much less and profit earnings through uninterrupted production would be high. This paper proposes a convenient power electronic circuitry with reasonable control approach for the flywheel replacement of an induction motor for which it is necessary to generate supply torque at motor shaft exactly equal to demand torque. To meet this requirement, demand torque characteristic is sampled at 25 msec. In proposed solution to this problem, the torque requirement at every sample is met by adjusting the firing angle of thyristors which in turn adjusts the supply voltage at motor terminals. Depending on supply frequency the sampling period for demand torque characteristic may be varied. The present paper has a focus of evolving the details of functional feasibility of this concept only.

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