This Paper presents a comparative study of Genetic Algorithm method (GA) and Particle swarm optimization (PSO) method to determine the optimal proportional-integral (PI) and proportional-integral-derivative (PID) controller parameters, for speed control of a Field Oriented Control (FOC) induction motor. The FOC induction motor has been modeled in MATLAB (SIMULINK); the GA and PSO algorithm has ...

Recently, many algorithms used to make tuning for PID controller parameters for different applications. PID Controller gives us control of both transient and steady state response, and decreases the characteristics elements such as overshoot, steady state error, settling time, and rising time, and makes the system stable and robust. But the problem is how to choose the PID parameters to achieve...

In this paper it is investigated the possibility of using chaos enhanced PSO algorithm in the task of PID controller design. The experimental DC motor system is used as the problem design and four different criterions are used to measure the quality of the regulation. Four different chaotic systems are used as pseudo-random number generators for the PSO algorithm and promising results of this m...

Recently, interest in microgrids, which are composed of distributed generation (DG), distributed storage (DS), and loads, has been growing as a potentially effective clean energy system to mitigate against climate change. The microgrid is operated in the grid-connected mode and the islanded mode according to the conditions of the upstream power grid. The role of the energy storage system (ESS) ...

This Paper deals with the tuning of PID controller using conventional methods and computational technique like Part icle Swarm Optimizat ion. The main objective is to prove that the response obtained is more stable, robust and efficient when PID is tuned using PSO. The obtained value is compared with conventional methods like Ziegler Nicholas, Cohen-coon and Internal Model Control. The cr iteri...

In order to improve the precision of variable-rate fertilization system in orchards, this paper conducted a simulation by MATLAB and experimental research based on experiment platform. The platform was mainly composed power supply, DC motors, PPC-15A1 on-board computer that contains PCI8932 PC-DAQ, speed sensors, fertilizer dischargers, NAV60 module can receive Beidou Navigation Satellite Syste...

In this paper, the simulation and optimization of induction motor through its controlling and modeling by convert d-q with Simulink of Matlab Software has been developed. By utilization of classic PI controller and also with phase controller has been optimized which membership function center of it has been optimized by new intelligent algorithms such as Emperor and Particle Swarm Optimization ...

Due to simplicity and robustness, classical PID and SMC have been still widely used in practical applications. Performance of these controllers (PID and SMC) depends upon the value of some of the constant controller parameters. To avoid the most commonly used tedious trial and error method, this paper proposes an improved PSO based method for getting the optimized value of these parameters. For...

202 Published By: Blue Eyes Intelligence Engineering & Sciences Publication Pvt. Ltd.  Abstract—This paper presents the use of meta-heuristic technique to obtain three parameters (KP, KI and KD) of PID controller for Coupled Tank System (CTS). Particle Swarm Optimization (PSO) is chosen and Sum Squared Error is selected as objective function. This PSO is implemented for controlling desired liq...

This paper presents archimedes optimization algorithm(AOA) and dispersive flies optimization(DFO) to optimally tune gain parameters of PID control scheme in order regulate DC motor’s speed. These suggested techniques the controller by minimization fitness function represented integral time multiplied absolute error (ITAE). The modelling simulation are carried out MATLAB/Simulink. transient resp...