The increasing complexity of the modern control systems has emphasized the idea of applying new approaches in order to solve design problems for different control engineering problems. The genetic algorithms (GA) used in the paper are a promising heuristic approach to locating near-optimal tuning solutions. They are easy to implement and robust. This paper attempts to show how GAs can be applie...

In recent years, evolutionary algorithms (EAs) have been successfully used in the design of artiicial neural networks for a variety of applications. The suitability of EAs for this design task stems from their ability to adaptively search large spaces in near-optimal ways. One direct application of this advance has been in the area of evolutionary robotics, where EAs are typically used for desi...

This paper describes an efficiency optimization control method for high performance interior permanent magnet synchronous motor drives with online estimation of motor parameters. The control system is based on an inputoutput feedback linearization method which provides high performance control and simultaneously ensures the minimization of the motor losses. The controllable electrical loss can ...