The main purpose of this paper is to design an optimal PID controller for frequency stabilization in an isolated wind-diesel power system. Optimal tuning of PID controller, formulated as an optimization problem and solved using Krill Herd (KH) algorithm. In order to prove the performance of proposed method, simulation carried out in four cases, step change in load of diesel side, step change in...

In this paper first we investigate optimal PID control of a double integrating plus delay process and compare with the SIMC rules. What makes the double integrating process special is that derivative action is actually necessary for stabilization. In control, there is generally a trade-off between performance and robustness, so there does not exist a single optimal controller. However, for a gi...

This paper presents a tuning approach based on Continuous firefly algorithm (CFA) to obtain the proportional-integralderivative (PID) controller parameters in Automatic Voltage Regulator system (AVR). In the tuning processes the CFA is iterated to reach the optimal or the near optimal of PID controller parameters when the main goal is to improve the AVR step response characteristics. Conducted ...

Random delays have serious effects in networked control systems, which deteriorate the performance and may even cause instability of the system. Hence a controller which can make the plant stable at large values of delay is always desirable in NCS systems. Our previous work on OFOPI controller showed that fractional order PI controllers have larger jitter margin (maximum value of delay for whic...

A class of stabilizing decentralized proportional integral derivative (PID) controllers for an n-link robot manipulator system is proposed. The range of decentralized PID controller parameters for an n-link robot manipulator is obtained using Kharitonov theorem and stability boundary equations. Basically, the proposed design technique is based on the gain-phase margin tester and Kharitonov’s th...

this paper introduces a technique for controlling a class of uncertain chaotic systems using an adaptive fuzzy proportional-integrator-derivative (pid) controller with h∞ tracking performance. the purpose of this work is to achieve optimal tracking performance of the controller using backtracking search algorithm (bsa). bsa, which is a novel heuristic algorithm, has an easy structure with singl...

In magnetically levitated system in certain applications like magnetically levitated train or bearingless motors the distance between the magnet and the levitated object has to be constant. The nonlinear system in such cases can be linearized and transfer function of the system is obtained. But a proper controller is required to manipulate the current through the magnet coil. The simplest contr...

A hybrid model is designed by combining the genetic algorithm (GA), radial basis function neural network (RBF-NN) and Sugeno fuzzy logic to determine the optimal parameters of a proportional-integralderivative (PID) controller. Our approach used the rule base of the Sugeno fuzzy system and fuzzy PID controller of the automatic voltage regulator (AVR) to improve the system sensitive response. Th...

An approach is proposed to tune the parameters of a mixed H2/H∞ PID controller via particle swarm optimization. The main target is to find a suitable controller that minimizes the performance index of error signal under the robust stability and robust performance conditions. Different types of performance indexes are used to have optimal PID controller such as IAE, ISE, and ITAE. In this paper,...

Anti-slug control of multiphase risers involves stabilizing an open-loop unstable operating point. PID control is the preferred choice in the industry, but appropriate tuning is required for robustness. In this paper, we define PIDF as a PID with a low-pass filter on its derivative action where the low-pass filter is crucial for the dynamics. We compared a new PIDF tuning based on Internal Mode...