: In this paper we used transfer function of second order of separately excited dc motor and compare their performance of speed regulation using PID controller and GA based hybrid fuzzy controller. In this paper our approached to tune the fuzzy logic controller using genetic algorithm. Fuzzy logic controller tuned by the lesser number of design parameter and all the control strategies utilize. ...

This paper proves the capability of the bees algorithm to solve complex parameter optimization problems for robot manipulator control. Two applications are presented. The first case considers the modelling of the inverse kinematics of an articulated robot arm using neural networks. The weights of the connections between the nodes need to be set so as to minimize the difference between the neura...

This paper presents a development of a self-tuning fuzzy PID controller to overcome the appearance of nonlinearities and uncertainties in the system. The self-tuning fuzzy PID controller is the combination of a classical PID and fuzzy controller. The controller is designed based on the expert knowledge of the system. Fuzzy logic is used to tune each parameter of PID controller. Appropriate fuzz...

In this study, a new artificial intelligence based optimization method is applied to optimize the gains of PID controller for Automatic Voltage Regulator (AVR) system. A dynamic performance of the controller which is optimized with ABC algorithm is compared with the results which are obtained with Particle Swarm Optimization (PSO). The transient response analysis is used in order to determine t...

We investigated the possibility of applying a hybrid feed-forward inverse nonlinear auto-regressive with exogenous input (NARX) fuzzy model-PID controller to a nonlinear pneumatic artificial muscle (PAM) robot arm to improve its joint angle position output performance. The proposed hybrid inverse NARX fuzzy-PID controller is implemented to control a PAM robot arm that is subjected to nonlinear ...

A procedure for global optimization of PID type controller parameters for SISO plants with model uncertainty is presented. Robustness to the uncertainties is guaranteed by the use of Horowitz bounds, which are used as constraints when low frequency performance is optimized. The basic idea of both the optimization and the parameter tuning is to formulate separate criteria for low, mid and high f...

This paper presents an implementation of self-tuned PID controller (FPID) for speed control of DC motor based on LabVIEW (Laboratory Virtual Instrument Engineering Workbench Environment). The algorithms of fuzzy PID controller (FPID) and conventional PID controller (CPID) are implemented using PID and Fuzzy Logic simulation toolkits of the Lab View environment. The simulation results demonstrat...

Abstract In this paper, the design of a proportional, derivative and integral (PID) based power system stabilizer (PSS) is carried out using a new Meta heuristic harmony search algorithm (HSA) to optimize the parameters. The design of proposed PID controller is considered with an objective function based on eigenvalue shifting to guarantee the stability of nonlinear plant for a wide range of co...

This paper presents the development of an on-line self-tuning algorithm for PID Controller to control the Governor using Successive approximation method. The successive approximation method is purely based on computational technique. The conventional PID controller is replaced by self tuning PID controller; to make them more general and to achieve minimum steadystate error, also to improve the ...

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...