Received Mar 23, 2017 Revised Aug 8, 2017 Accepted Aug 23, 2017 The Proportional-Integral-Derivative (PID) controller is the most popular control strategy in the process industry. The popularity can be attributed to its simplicity, better control performance and excellent robustness to uncertainties that is found through the research work on such controllers so far. This paper presents the desi...

In this paper, an optimization method based on the foraging behavior of a colony of honey bees in nature was proposed. An optimized model for Proportional Integral Derivative (PID)speed controller of 3-phase IM drives was introduced to adapt the constant gains of this classical controller. To enhance robustness of this controller, an online algorithm for self-tuning of PID controller-parameters...

Abstract. Proportional-integral-derivative (PID) control is the most popular control architecture used in industrial problems. Many techniques have been proposed to tune the gains for the PID controller. Over the last few years, as an alternative to the conventional mathematical approaches, modern metaheuristics, such as evolutionary computation and swarm intelligence paradigms, have been given...

PID control plays an important role in industrial system. As known that tuning PID parameters have strong effect on the control performance, therefore, many tuning PID parameters schemes have appeared, such as model based design methods which are still used in practical applications. However, in some sophisticated systems like thermal processes and chemical processes, experiments are required m...

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...

In order to improve the response performance of a proportion integration differentiation (PID) controller for magnetorheological fluids (MRF) brake and to reduce the braking fluctuation rate, an improved fruit fly optimization algorithm for PID controller parameters tuning of MRF brake is proposed. A data acquisition system for MRF brake is designed and the transfer function of MRF brake is ide...

Abstract. Industrial processes are in general multi-input multi-output (MIMO) systems. Despite of that and because of the lack of good fine-tuning algorithms for MIMO controllers, they are usually treated as single-input single-output (SISO) ones for the purposes of control design and implementation. In that cases, the tuning procedure is frequently carried out taken one loop at a time and the ...

ABSTRACT: This paper proposes the Model Predictive Control (MPC) scheme in a bubble cap distillation column . Even though PID controllers are widely used for the control of nonlinear system, there is a need for optimizing and conservation of energy. Here, MPC scheme is designed and it is used for controlling the composition in distillation columns.The tuning of PID controller is done using Sund...

As traditional PID controller has mature technique, it is applied widely. But the design of it depends on mathematical model of the controlled object. But the parameters of PID controller use engineering tuning method, it requires much time and effort and the parameters are only effect in a specific range. It is not suitable for complicated nonlinear and time-variable system. In recent year, pe...

An application of the modified second-order sliding mode (SOSM) algorithms to a PID controller tuning is presented. The proposed method utilizes the opportunity of exciting test oscillations in the controller-process loop at the frequency corresponding to a desired phase lag of the process. This allows for this frequency to become the phase crossover frequency in the closed-loop system with a P...