Design and Experimental Evaluation of a Data-based Self-tuning Pid Controller
نویسندگان
چکیده
PID controllers have been widely employed for industrial processes. Although most process systems have nonlinear properties, the effective PID parameters tuning method for nonlinear systems have not been established yet. Therefore, in this paper, a new tuning method of PID parameters is proposed for nonlinear systems using the idea of a data-based modeling method. According to the proposed method, PID parameters can be adequately tuned by input/output data of the controlled object stored recursively in the data-base. Finally, this method is experimentally evaluated on a temperature control system. Copyright c ©2005 IFAC
منابع مشابه
A Novel Self-tuning Zone PID Controller for Temperature Control via a PLC code
S7-1200 with Tia Portal technology has become a Standard function of distributed controlsystems. Self-Tuning methods belong to Programmable Controllers (PLC) techniques. PLCtechniques contain software packages for advanced control based on mathematical methods. S7-1200 tools are designed to increase the Process Capacity, yield, and quality of products. Most ofthe present time digital industry r...
متن کاملDesign and experimental evaluation of a multivariable self-tuning PID controller - Control Theory and Applications, IEE Proceedings-
In the paper, a new multivariable self-tuning PID controller design scheme is proposed which has a static matrix precompensator to reduce the interaction terms of the process transfer function matrix adjusted by an online estimator. The p £ p precompensated multivariate system is then controlled via ‘p’ univariate self-tuning PID controllers whose parameters are adjusted by a second identifier ...
متن کاملLabVIEW implementation of an enhanced nonlinear PID controller based on harmony search for one-stage servomechanism system
This paper presents a practical implementation for a new formula of nonlinear PID (NPID) control. The purpose of the controller is to accurately trace a preselected position reference of one stage servomechanism system. The possibility of developing a transfer function model for experimental setup is elusive because of the lack of system data. So, the identified model has been developed via gat...
متن کاملHysteresis Modeling, Identification and Fuzzy PID Control of SMA Wire Actuators Using Generalized Prandtl-Ishlinskii Model with Experimental Validation
In this paper, hysteretic behavior modeling, system identification and control of a mechanism that is actuated by shape memory alloy (SMA) wires are presented. The mechanism consists of two airfoil plates and the rotation angle between these plates can be changed by SMA wire actuators. This mechanism is used to identify the unknown parameters of a hysteresis model. Prandtl–Ishlinskii method is ...
متن کاملAn Efficient Optimal Fractional Emotional Intelligent Controller for an AVR System in Power Systems
In this paper, a high-performance optimal fractional emotional intelligent controller for an Automatic Voltage Regulator (AVR) in power system using Cuckoo optimization algorithm (COA) is proposed. AVR is the main controller within the excitation system that preserves the terminal voltage of a synchronous generator at a specified level. The proposed control strategy is based on brain emotional ...
متن کامل