Stepper motors are introduced as certain electromechanical devices which vastly utilized in robotic industries, computer numerical control machines, and different actuators. Although open loop control offers an approximately acceptable performance, in higher stepping rate, the speed response is dealing with the large overshoot, a remarkable steady-state error and sometimes oscillations. Therefo...

Recently, hybrid wind/PV microgrids have gained great attention all over the world. It has merits of being environmentally friendly, reliable, sustainable, and efficient compared to its counterparts. Though there been development in this issue, control energy management these systems still face challenges. The source those challenges is intermittent nature both wind PV energy. On other hand, a ...

Control algorithms are the most crucial aspects in effective control of civil structures exposed to earthquake forces. Recently, adaptive intelligent evolving be a viable substitute strategy for conventional model-based algorithms. One recent developments, known as Brain Emotional Learning Based Intelligent Controller (BELBIC), has caught attention scientists model-free system. It possesses app...

The Combination of path planning and path following is the main purpose of this paper. This paper describes the developed practical approach to motion control of the MRL small size robots. An intelligent controller is applied to control omni-directional robots motion in simulation and real environment respectively. The Brain Emotional Learning Based Intelligent Controller (BELBIC), based on LQR...

The synchronous reluctance motor (SynRM) has significant nonlinear characteristics due to the problems of magnetic saturation and cross-coupling poor adaptability general controller parameter changes seriously affects control performance motor. In order solve above problems, this paper proposed a system for SynRM with brain emotion based on empirical information problem saturation. Firstly, mat...

A novel intelligent control strategy based on a brain emotional learning (BEL) algorithm is investigated in the application of the attitude control of a small unmanned aerial vehicle (UAV) in this study. The BEL model imitates the emotional learning process in the amygdala‐ orbitofrontal (A‐O) system of mammalian brains. Here it is used to develop the flight control system of the U...

The model of emotional masks is a newly developed AI paradigm based on Minsky’s model of emotional mind in his recent book “The emotion machine”. The model takes a resource management approach toward modeling the mind and views different processes of mind as resources that need to be managed. In the present work an intelligent controller (SCELIC) is developed based on the model of emotional mas...