Implementation of PWM AC chopper controller for capacitor run induction motor drive via bacterial foraging optimization algorithm

Abstract

<p>This paper focuses on design of closed-loop control for pulse width modulated AC chopper controlled capacitor run induction motor drive engaging enriched optimization algorithm based on foraging of bacteria. Capacitor run induction motor is a non-linear device and its parameter varies under different functional point of the system. A linearized increment model for PWM AC chopper is illustrated for a particular functional point of the drive. The conventional method does not provide acceptable performance under different load conditions. Bacteria foraging optimization technique categorizes accurate control parameters for the superlative dynamic response under unit step load variations. Field Programmable Gate Array is implemented practically for a particular functional point of the drive to exhibit accurate performance. Experimental and simulated results are obtained to authenticate the effectiveness of the optimized controller.</p><p> </p>

Transient response mitigation using type-2 fuzzy controller optimized by grey wolf optimizer in converter high voltage direct current

“…Genetic algorithm OM based on sliding-mode scheme is used to enhance the dynamic stability of source voltage converter HVDC in considering wide range operating conditions [50]. Bacterial foraging OM is applied in capacitor-run motor [51], and grey wolf optimizer (GWO) is developed to estimate input-output parameters power plant [52] and to compute the optimal shape and size in design of 800 kV transformer of HVDC system [53].…”

Strategy to reduce transient current of inverter-side on an average value model high voltage direct current using adaptive neuro-fuzzy inference system controller

“…Genetic algorithm OM based on sliding mode control is used to improve dynamic stability system of source voltage converter HVDC in considering wide range operating conditions [23]. Bacterial foraging and grey wolf OMs are applied in capacitor-run motor [24] and to estimate input-output parameters power plant, respectively [25]. Fuzzy and fuzzy type-2 controls are used to improve maximum performance point tracker (MPPT) of solar panel dynamic performance under variation weather conditions [26] and drive control of permanent magnet synchronous machine [27].…”