Tuning of a PD-PI Controller used with First-order-Delayed Processes (original) (raw)
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IJERT-Tuning of a PD-PI Controller used with First-order-Delayed Processes
International Journal of Engineering Research and Technology (IJERT), 2014
https://www.ijert.org/tuning-of-a-pd-pi-controller-used-with-first-order-delayed-processes https://www.ijert.org/research/tuning-of-a-pd-pi-controller-used-with-first-order-delayed-processes-IJERTV3IS040881.pdf Time delayed processes require more attention in selecting reasonable controllers associated with them because of the poor performance of the control system associated with them. In this work, the PD-PI controller is examined to investigate its replacement to the classical PID controller. This research work has proven that the PD-PI results in a better performance for the closed-loop control system incorporating the PD-PI controller and a first-order delayed process. A first-order-delayed process of 50 s time constant and time delay between 2 and 16 seconds is controlled using simulation. The time delay effect is compensated using 4 th order Pade approximation. The controller is tuned by minimizing the sum of square of error (ISE) of the control system using MATLAB. The MATLAB optimization toolbox is used assuming that the tuning problem is an unconstrained one. The result was reducing the maximum percentage overshoot, maximum percentage overshoot and settling time. The performance of the control system using an PD-PI controller using the present tuning technique is compared with that using a PID controller tuned by Ziegler-Nichols and Tavakoli tuning techniques.
A Comparative Study of Pid Controller Tuning Techniques for Time Delay Processes
2019
The Proportional-Integral-Derivative (PID) controllers are used in process/plant for controlling their parameters such as thermal or, electrical conductivity. By adjusting three parameters of PID controller, both transient and steady response can be improved, and better output can be obtained. There are many PID controller tuning techniques available in the literature and designing PID controllers for small delay processes with specified gain and phase margin is a well-known design technique. If the gain margin and phase margin are not specified, the system may not be optimum. A system with large gain and phase margins is more robust and gives better performance. When the system is robust, there will be no effect of slight changes in system parameters on the system performance. This paper describes a comparative analysis, among different types of tuning techniques available for first order plus delay time systems (FOPDT) on the basis of the various time integral performance criteria...
A simple method of tuning PID controller for Integrating First Order Plus time Delay Process
2016
A simple method is proposed to design a PID controller for Integrating First Order Plus Time Delay system. Design is simple compared to the other tuning methods. It has been proposed for the pneumatic control system based on the method of gain scheduling. The performance of the controller is measured by the simulation and it is compared with the other two tuning methods which is Skogested [1] and Shinskey [2]. Simulation results shows that the proposed method has lesser error ISE and IAE than the other two methods. Disturbance rejection is also good in the proposed method. INTRODUCTION PID controller design based on stability analysis, constant open loop transfer function, pole placement method, stable inverse of the model and direct synthesis method has been proposed. In all the above methods the design procedure is somewhat complicated. A simple method is proposed for First Order Plus Time Delay system by using the method of gain scheduling [3]. But PID controller for Integrating ...
Closed-Loop PI/PID Controller Tuning for Stable and Integrating Process with Time Delay
The objective of this study is to develop a new online controller tuning method in closed-loop mode. The proposed closed-loop tuning method overcomes the shortcoming of the well-known Ziegler-Nichols (1942) continuous cycling method and it can be an alternative for the same. This is a simple method to obtain the PI/PID setting which gives the acceptable performance and robustness for a broad range of the processes. The method requires a closed-loop step set-point experiment using a proportional only controller with gain Kc0. On the basis of simulations for a range of first-order with time delay processes, simple correlations have been derived to give PI/PID controller settings. The controller gain (Kc/Kc0) is only a function of the overshoot observed in the set-point experiment. The controller integral and derivative time (τI and τD) is mainly a function of the time to reach the first peak (tp). The simulation has been conducted for a broad class of stable and integrating processes, and the results are compared with a recently published paper of Shamsuzzoha and Skogestad (2010).1 The proposed tuning method gives consistently better performance and robustness for a broad class of processes.
Design of a Nonlinear PID Controller and Tuning Rules for First-Order Plus Time Delay Models
Studies in Informatics and Control, 2019
This paper introduces a simple but effective nonlinear proportional-integral-derivative (PID) controller and three model-based tuning rules for first-order plus time delay (FOPTD) models. The proposed controller is based on a conventional PID control architecture, wherein a nonlinear gain is coupled in series with the integral action to scale the error. The optimal parameter sets of the proposed PID controller for step setpoint tracking are obtained based on the FOPTD model, dimensional analysis and a genetic algorithm. As for gauging the performance of the controller, three performance indices (ISE, IAE and ITAE) are adopted. Then, tuning rules are derived using the tuned parameter sets, potential rule models and the least squares method. The simulation results carried out on three processes demonstrate that the proposed method exhibits better performance than the conventional linear PID controllers.
Practical Guidelines for Tuning PD and PI Delay-Based Controllers
IFAC-PapersOnLine, 2019
This paper focuses on the control scheme design of two different control schemes using delays. These two low-complexity controllers are direct alternatives for the P D and P I low-order controllers. More precisely, first, we study a P D controller using the Euler approach for approximating the derivative action. Second, we analyze the implications of imposing a delay in the error signal on the integral action of the P I controller for closed-loop response manipulation purposes. Our main contribution lies in proposing some practical guidelines for the tuning of these delayed control schemes such that the closed-loop system is stable. To this end, the criteria developed in this work makes use of the well-known D-partition curves method avoiding crossing direction analysis. Finally, in order to test the effectiveness of the proposed methodology, some numerical examples are presented.
Optimal tuning of PID controllers for first order plus time delay models using dimensional analysis
2003
Using dimensional analysis and numerical optimisation techniques, an optimal method for tuning PID controllers for first order plus time delay systems is presented. Considering integral square error (ISE), integral absolute error (IAE) and integral time absolute error (ITAE) performance criteria, optimal equations for obtaining PID parameters are proposed. Simulation results show that the proposed method has a considerable superiority over conventional techniques. In addition, the closed loop system shows a robust performance in the face of model parameters uncertainty.
2020
Highly oscillation in industrial processes is completely undesirable, and controller tuning has to solve this problem. PI-PD is a controller type of the PID family which is suggested to overcome this problem with improved performance regarding the spike characteristics associated with certain types of controllers. This work has proven that using the PI-PD controller is capable of solving the problems of the highly oscillated third order process. A highly oscillated third order process of 57% maximum overshoot and 75 seconds settling time is controlled using a PI-PD controller (through simulation). The controller is tuned by minimizing the sum square error (ISE) of the control system using a software package. The MATLAB optimization toolbox is used assuming that the tuning problem is with functional constraints. The overshoot, undershoot and settling time are used to investigate the performance of the closed loop control system. The performance of the control system using an PI-PD controller using the present tuning technique is compared with that using the ITAE standard forms tuning technique.
PID Tuning Rules for First Order plus Time Delay System
2014
This paper demonstrates an efficient method of tuning the PID controller parameters using different PID tuning techniques. The method implies an analytical calculating the gain of the controller (Kc), integral time (Ti) and the derivative time (Td) for PID controlled system whose process is modelled in first order plus time delay (FOPTD) form. In this Paper a First order time delay system is selected for study. The performance of PID tuning techniques is analysed and compared on basis of time response specifications.
An enhanced performance PID filter controller for first order time delay processes
Journal of Chemical Engineering of Japan, 2007
An analytical tuning method for a PID controller cascaded with a lead/lag filter is proposed for FOPDT processes based on the IMC design principle. The controller is designed for the rejection of disturbances and a two-degree-of-freedom control structure is used to slacken the overshoot in the set-point response. The simulation study shows that the proposed design method provides better disturbance rejection than the conventional PID design methods when the controllers are tuned to have the same degrees of robustness. A guideline of a single tuning parameter of closed-loop time constant (λ λ λ λ λ) is provided for several different robustness levels.