The aim of this paper is to design a speed controller of a DC motor by selection of PID parameters using bio-inspired optimization technique i.e. Particle Swarm Optimization (PSO). Here, model of a DC motor is considered as a second order system for armature voltage control method of speed control. Bio-inspired optimization technique in controllers and their advantages over conventional methods is discussed using MATLAB/Simulink. This proposed optimization methods could be applied for higher order system also to provide better system performance with minimum errors. The main aim is to apply PSO technique to design and tune parameters of PID controller to get an output with better dynamic and static performance. The application of PSO to th...
In this paper, an intelligent controller of DC Motor drive is designed using particle swarm optimiza...
This paper presents a Particle Swarm Optimization (PSO) technique and bacterial foraging (BF) techni...
AbstractThis paper presents a Particle Swarm Optimization (PSO) technique and bacterial foraging (BF...
The DC motors are widely used in the mechanisms that require control of speed. Different speed can b...
The use of DC motors is now common because of its advantages and has become an important necessity i...
This Paper presents a particle swarm optimization (PSO) method for determining the optimal proportio...
A significant problem in the control field is the adjustment of PID controller parameters. Because o...
A significant problem in the control field is the adjustment of PID controller parameters. Because o...
This paper investigates the application of different optimization techniques to tune the parameters ...
The aim of this research is to design a PID Controller using PSO algorithm. The model of a DC motor ...
This paper proposes the design a of PID controller to improve the dynamic response of a DC motor usi...
In this paper, a design and a simulation of a PID controller are presented to control a DC motor spe...
To maximize the performance of DC motors, the proper use of the controller is crucial. Design of Pro...
Abstract-Tuning of PID controller parameters is an important problem in control field. To solve this...
Most of the current industrial devices use the controllers of the type Proportional Integral and Der...
In this paper, an intelligent controller of DC Motor drive is designed using particle swarm optimiza...
This paper presents a Particle Swarm Optimization (PSO) technique and bacterial foraging (BF) techni...
AbstractThis paper presents a Particle Swarm Optimization (PSO) technique and bacterial foraging (BF...
The DC motors are widely used in the mechanisms that require control of speed. Different speed can b...
The use of DC motors is now common because of its advantages and has become an important necessity i...
This Paper presents a particle swarm optimization (PSO) method for determining the optimal proportio...
A significant problem in the control field is the adjustment of PID controller parameters. Because o...
A significant problem in the control field is the adjustment of PID controller parameters. Because o...
This paper investigates the application of different optimization techniques to tune the parameters ...
The aim of this research is to design a PID Controller using PSO algorithm. The model of a DC motor ...
This paper proposes the design a of PID controller to improve the dynamic response of a DC motor usi...
In this paper, a design and a simulation of a PID controller are presented to control a DC motor spe...
To maximize the performance of DC motors, the proper use of the controller is crucial. Design of Pro...
Abstract-Tuning of PID controller parameters is an important problem in control field. To solve this...
Most of the current industrial devices use the controllers of the type Proportional Integral and Der...
In this paper, an intelligent controller of DC Motor drive is designed using particle swarm optimiza...
This paper presents a Particle Swarm Optimization (PSO) technique and bacterial foraging (BF) techni...
AbstractThis paper presents a Particle Swarm Optimization (PSO) technique and bacterial foraging (BF...