Optimization of I-PD Controller for a FOLIPD Model using Particle Swarm Intelligence
نویسندگان
چکیده
In this paper, I-PD controller is designed and controller parameters are optimized using particle swarm intelligence for a First Order Lag Integrating plus Time Delayed model (FOLIPD). One of the modifications of PID controller is I-PD controller, which can be used for eliminating the proportional and derivative kick occurs during set point change. The controller parameters play the major role in obtaining the desired performance of a process and that urges the importance of selecting the most suitable parameters. The simulation results show that particle swarm optimized I-PD controller gives better performance compared to traditional Ziegler Nichols tuning technique and tuning method proposed by Arvanitis.
منابع مشابه
Optimization of the Lyapunov Based Nonlinear Controller Parameters in a Single-Phase Grid-Connected Inverter
In this paper, optimization of the backstepping controller parameters in a grid-connected single-phase inverter is studied using Imperialist competitive algorithm (ICA), Genetic Algorithm (GA) and Particle swarm optimization (PSO) algorithm. The controller is developed for the system based on state-space averaged model. By selection of a suitable Lyapunov function, stability of the proposed con...
متن کاملLoad Frequency Control in Power Systems Using Improved Particle Swarm Optimization Algorithm
The purpose of load frequency control is to reduce transient oscillation frequencies than its nominal valueand achieve zero steady-state error for it.A common technique used in real applications is to use theproportional integral controller (PI). But this controller has a longer settling time and a lot of Extramutation in output response of system so it required that the parameters be adjusted ...
متن کاملAN OPTIMAL FUZZY SLIDING MODE CONTROLLER DESIGN BASED ON PARTICLE SWARM OPTIMIZATION AND USING SCALAR SIGN FUNCTION
This paper addresses the problems caused by an inappropriate selection of sliding surface parameters in fuzzy sliding mode controllers via an optimization approach. In particular, the proposed method employs the parallel distributed compensator scheme to design the state feedback based control law. The controller gains are determined in offline mode via a linear quadratic regular. The particle ...
متن کاملImprovement of Left Ventricular Assist Device (LVAD) in Artificial Heart Using Particle Swarm Optimization
In this approach, the Left ventricular assist pump for patients with left ventricular failure isused. The failure of the left ventricle is the most common heart disease during these days. Inthis article, a State feedback controller method is used to optimize the efficiency of a samplingpump current. Particle Swarm Algorithm, which is a set of rules to update the position andvelocity, is applied...
متن کاملOptimization of PD-PI Controller Using Swarm Intelligence
Sensitivity and Robustness is the primary issue while designing the controller for non-linear systems. One of the performance objectives for controller design is to keep the error between the controlled output and the set-point as small as possible. A comparison between Evolutionary Algorithms namely GAs (Genetic Algorithms), and Swarm Intelligence, i.e., PSO (Particle Swarm Optimization) and B...
متن کامل