This paper presents a PID tuning method for unstable processes using an adaptive-network-based-fuzzy-inference system (ANFIS) for given gain and phase margin (GPM) speci)cations. PID tuning methods are widely used to control stable processes. However, PID controller for unstable processes is less common. In this paper, the PID controller parameters can be determined by the ANFIS. Because the de...

To reduce engine vibration, a semi-active controlled magnetorheological suspension is designed. First, the magnetic circuit of new simulated. Furthermore, non-parametric forward and inverse dynamic models with Elman neural network are established, where modeling results accuracy analyzed. Second, according to characteristics vibration control suspension, an improved fruit fly optimized proporti...

Nonlinear characteristics of wind speed and generator model in wind energy conversion systems required an optimal controller for optimal performance and high efficiency of the system. So a controller must be designed for this purpose. Here, the PID controller is used which its coefficients are optimized based on genetic algorithms. In order to use this algorithm, first this problem has to be fo...

An MIMO auto-tuning method is develop that can be used by a layman of control. The method is based on MIMO identification and robust control design. The identification part delivers process model and model error bounds. The controller design block performs control synthesis, simulation and robust analysis. All steps can be done automatically. The parameters the user needs to enter are minimal a...

Controller designing for various day to day practical processes has been a challenging task for designers. Several issues such as stability, steady state error, effect of parameter variations and speed etc. must be considered for designing a controller. In this communication, an arbitrarily underdamped second order plant is implemented which has highly oscillatory response. Then a PID controlle...

CNC machine tool position controller connects control system with actuating mechanism and often adopts traditional PID control technology. But the traditional PID technology is hard to achieve rapid adjustment and lesser overshoot at the same time. Consequently, the CNC machine tool fuzzy immune PID position controller based on immunity feedback control theory is developed in the study. The exp...

A Concurrent Relay-PID controller (CRPID) for motor position servo systems is proposed in this paper. The proposed controller is composed of a deadband-relay subcontroller and a parallel PID subcontroller. The deadband-relay subcontroller is capable of improving the transient system performance while the PID subcontroller is responsible for near steady state system regulation. Systematic design...

This paper exhibited a survey investigation of tuning of Proportional Integral Derivative (PID) Controller for speed control of CSTR PLANT utilizing delicate processing strategies. CSTR PLANT engine is generally utilized as a part of businesses regardless of the possibility that its support cost is higher than the enlistment engine. Speed control of CSTR PLANT is pulled in extensive research an...

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...

The fixed parameters in traditional Proportional Integral Derivative (PID) controller that is proposed by Ziegler-Nichols and other researchers lead to poor performance for transient response or steady state response and it has bad value of performance indices. On the other hand, analysis and design of the nonlinear PID controller is very complicated and difficult in practice. In this paper, a ...