Conventional PID controllers have been widely applied in industrial process control for about half a century because of their simple structure and convenience of implementation. The implementation of PID controllers needs proper tuning of proportional gains, integral gains, and derivative gains of the controllers. Among the existing gain tuning techniques, the method proposed by Ziegler and Nic...

This paper presents a comparative analysis of continuously stirred tank reactor (CSTR) control based on adaptive control and optimal tuning of PID control based on particle swarm optimization. In the design of adaptive control, Model reference adaptive control (MRAC) scheme is used, in which the adaptation law have been developed by MIT rule & Lyapunov’s rule. In PSO control parameters of PID c...

This paper presents a hybrid Proportional Integral Differential (PID) and Power System Stabilizer (PSS) controller based Artificial Bee Colony (ABC) techniques to damp low frequency oscillation. The recent studies in artificial intelligence demonstrated that the ABC optimization is strong intelligent method in complicated stability problems. The optimal PID and PSS parameters are applied on a S...

PID controllers are designed and optimized in this paper for wood-berry distillation column using simulated annealing algorithm and particle swarm optimization method. PID controllers are the common instruments used in control applications. Construction of PID controllers is smooth and easy. It furnishes more stability and malleable while governing the processes. Thousands of PID loops strive t...

In this paper, the gravitational search algorithm (GSA) is proposed as a method for controlling opening and closing of airplane wing tires. The GSA used to find optimum proportional-integral-derivative (PID) controller, which controls tires during take-off landing. addition, suggested an approach overcoming absence transfer function, usually required design PID. use expected improve system. Two...

In this paper swarm intelligence based PID controller tuning is proposed for a nonlinear ball and hoop system. Particle swarm optimization (PSO), Artificial bee colony (ABC), Bacterial foraging optimization (BFO) is some example of swarm intelligence techniques which are focused for PID controller tuning. These algorithms are also tested on perturbed ball and hoop model. Integral square error (...

This paper presents a nonlinear PID neural controller for the 2-DOF vehicle model in order to improve stability and performances of vehicle lateral dynamics by achieving required yaw rate and reducing lateral velocity in a short period of time to prevent vehicle from sliding out the curvature. The scheme of the discrete-time PID control structure is based on neural network and tuned the paramet...

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...

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,...