Linear and Nonlinear System Modeling

10Hybrid Grey Wolf Optimizer for Modeling and Control of Electric Drives

Souvik Ganguli¹* and Prasanta Sarkar²

¹Department of Electrical and Instrumentation Engineering, Thapar Institute of Engineering and Technology, Patiala, Punjab, India

²Department of Electrical Engineering, National Institute of Technical Teachers’ Training & Research, Kolkata, West Bengal, India

Abstract

Permanent magnet synchronous motor drives, or PMSM drives for short, use integrated nature-dependent metaheuristic algorithms in this chapter to perform reduced order modeling and controller design in a unified domain. The firefly algorithm (FA) and the grey wolf optimizer (GWO) are two of the most important algorithms in computer science. Together, they form a new hybrid architecture called the hybrid grey wolf optimizer (HGWO). First, a lower-order model of a permanent magnet synchronous motor drive, comprising of speed and current controllers, was obtained through a reduction using a signal-processing-based identification technique. The anonymous proportional-integral (PI) controller gains can be roughly estimated by matching the reduced system developed in cascade with the controller to a desired system. The gains of the delta operator are nearly replicated by the gains of the continuous-time controller. This allows for the development of a unified controller for the drive. Thus, the proposed algorithm is useful not only for order diminution but also for determining the control parameters of PMSM ...