In this paper, an optimization method based on the foraging behavior of a colony of honey bees in nature was proposed. An optimized model for Proportional Integral Derivative (PID)speed controller of 3-phase IM drives was introduced to adapt the constant gains of this classical controller. To enhance robustness of this controller, an online algorithm for self-tuning of PID controller-parameters...

The paper presents an advanced Fuzzy self-tuning PID controller theory and it implement its applications on Data I/O’s automated robotic programming systems. Considerable programming technology shift occurred in recent device programmer industry; programming density have been constantly fast growing from lowvolume to high-volume programming for all kinds of non-volatile flash memory devices suc...

The application of a self-organizing fuzzy proportional–integral–derivative (SOF-PID) controller to a multiple-input–multiple-output (MIMO) nonlinear revolute-joint robot arm is studied in this paper. The SOF controller is a learning supervisory controller, making small changes to the values of the PID gains while the system is in operation. In effect, the SOF controller replaces an experienced...

Despite the popularity, the tuning aspect of proportional–integral-derivative (PID) controllers is a challenge for researchers and plant operators. Various controllers tuning methodologies have been proposed in the literature such as auto-tuning, self-tuning, pattern recognition, artificial intelligence, and optimization methods. Chaotic optimization algorithms as an emergent method of global o...

AbstractThis paper presents Fuzzy Self Tuning of PID Controller for DC Motor Drive .Simulation results have demonstrated that the use of Self Tuned FIS results in a good dynamic behaviour of the DC motor, a perfect speed tracking with no overshoot, gives better performance and high robustness than those obtained by use of the other controllers.