Measurement of level, temperature, pressure and flow parameters are very vital in all process industries. The model for such a real time process is identified and validated .Real time industrial processes are subjected to variation in parameters and parameter perturbations, which when significant makes the system unstable. Determination or tuning of the PID parameters continues to be important ...

Several neural-net based PID controllers have been proposed for nonlinear process systems. However, they have been not so widely used in process industries due to the considerably computational cost. This paper presents a new intelligent PID tuning scheme, whose PID tuner is constructed by the fusional structure of a cerebellar model articulation controller and a neural network. This PID tuner ...

In this paper an adaptive PID controller for Wind Energy Conversion Systems (WECS) has been developed. Theadaptation technique applied to this controller is based on Reinforcement Learning (RL) theory. Nonlinearcharacteristics of wind variations as plant input, wind turbine structure and generator operational behaviordemand for high quality adaptive controller to ensure both robust stability an...

Robot manipulators are highly coupled nonlinear systems, therefore real system and mathematical model of dynamics used for control system design are not same. Hence, fine-tuning of controller is always needed. For better tuning fast simulation speed is desired. Since, Matlab incorporates LAPACK to increase the speed and complexity of matrix computation, dynamics, forward and inverse kinematics ...

The purpose of this paper showed an appraisal study on movement control of The DC engine drive through PID (relative, essential, subsidiary) controller and using Optimization Techniques and canny developments strategies. In a matter of second’s days, DC motor is widely used as a piece of business endeavors as a result of its broad assortment of speed control still if its bolster cost is higher ...

Proportional-Integral-Derivative (PID) control is the most widely used control method in industrial and academic applications due to its simplicity and efficiency. Several different control methods/algorithms have been proposed to tune the gains of PID controllers. However, the conventional tuning methods do not have sufficient performance and simplicity for practical applications, such as robo...

The synthesis of a control system includes both the controller selection and the adjustment of its parameters. In some cases, the type of controller might be more complex or more general, like PID instead PI or PD, to improve the control system performance. In all cases, the tuning problem must be satisfactorily solved. On the other hand, Fuzzy Control has made possible the establishment of int...

The 3 degree of freedom (3-DOF) helicopter system is a typical higher-order times, instability, multi-variable, nonlinear and strong coupling control system. This paper presents the analysis of the mathematical model and the basic principle of PID control and fuzzy PID control, which are based on 3-DOF helicopter systems. In allusion to balance control of 3-DOF helicopter system, PID controller...

Three new direct synthesis methods providing new simple rules of tuning the Pseudo-Derivative Feedback controller for integrating as well as stable or unstable first order processes with time delay are presented. The proposed control structure and tuning methods ensure smooth closed-loop response to set-point changes, fast regulatory control and sufficient robustness against parametric uncertai...

In this paper, ideas from iterative feedback tuning (IFT) are incorporated into relay auto-tuning of the proportional-plus-integral-plusderivative (PID) controller. The PID controller is auto-tuned to give speci ed phase margin and bandwidth. Good tuning performance according to the speci ed bandwidth and phase margin can be obtained and the limitation of the standard relay auto-tuning techniqu...