Flywheel replacement of IM with convenient power electronic circuitry: SSA-ANFIS

ABSTRACT

Purpose

This paper proposes a novel approach for flywheel replacement of Induction Motor (IM) with convenient power electronic circuitry. Methology: The proposed technique is the joined execution of the Salp Swarm Optimization Algorithm (SSA) plus Adaptive Neuro-Fuzzy Interference System (ANFIS) based duty ratio controller. Findings: In the proposed technique, the ANFIS procedure is enhanced by using the SSA algorithm with regards to the minimum error objective function. Here, the inverter switching states are updated by the proposed approach by constraining the error between the setpoint torque and the demand torque to the extended target work. With this proposed technique, unbalance between the demand torque and the generated torque is found with high precision and snappier execution. It is used to haul pull out the torsional pulsation in touchy load-connected transmission systems. Result: The execution of the proposed technique is actualized in the MATLAB/Simulink platform and compared with the existing methods.

KEYWORDS:

• IM
• flywheel elimination
• Swarm Optimization Algorithm (SSA)
• Adaptive Neuro-Fuzzy Interference System (ANFIS)
• demand torque

Disclosure statement

No potential conflict of interest was reported by the authors.