Implementation Of Self-tuning Controller Research Articles

Real-time implementation of self-tuning regulator control technique for coupled tank industrial process system

This article presents the self-tuning regulator control technique for a coupled tank liquid level system that often used in industry. An autoregressive with exogenous model has been used as the liquid process model with the self-tuning control implementation in order to track the desired tank level trajectories with disturbances and uncertainties of the system dynamics. The designed self-tuning controller has been sensitive to parameter variations of the nonlinear coupled tank system. The parameters of the proposed controller are periodically updated themselves during the process by means of online recursive least square method with the forgetting factor algorithm. In this way, the parameter variations and unwanted disturbances of the system are eliminated in real-time application. In order to demonstrate the efficiency of the self-tuning regulator control technique, the real-time studies have been executed. The obtained experimental results demonstrated that the proposed controller gives the better trajectory tracking performance and smaller magnitude in overshot and undershot than the designed classical proportional–integral and sliding mode controllers.

Self-Tuning Control Application to Closed-Loop Servohydraulic Material Testing

Extensive reliance on manual controller tuning in closed-loop material testing applications makes such applications good candidates for self-tuning control implementation. The current work deals with the modeling, on-line identification, and self-tuning control of electrohydraulic servomechanisms used for closed-loop control of stroke, load, or strain involving low signal frequencies. The application to load and strain control results in servovalve operation close to null and increases the significance of nonideal aspects of servovalve operation such as valve mechanical null offset, valve overlap and radial clearance. Modifications in process modeling and on-line identification necessary to accommodate these aspects are described and shown to be effective by simulation and experiment. A pole-placement controller design approach is used for controller adaptation, the control algorithm being chosen based on analysis of robustness of the control system. The self-tuning control system is shown to be effective, by simulation and experiment.

Book Review: Implementation of Self-Tuning Controllers

Book Review: Implementation of Self-Tuning Controllers

Practical issues in the implementation of self-tuning control

Implementation aspects of self-tuning regulators are discussed in the paper. There is a large discrepancy between simulation or academic algorithms and practical algorithms. In the idealized environment of simulations it is easy to get different types of adaptive algorithms to perform well. In practice the situation is quite opposite. The adaptive or self-tuning controller must be able to handle nonlinearities, unmodelled dynamics and unmodelled disturbances over a wide range of operating conditions. Some aspects of how to implement self-tuning controllers are discussed in the paper. This includes robustness, signal conditioning, parameter tracking, estimator wind-up, reset action and start-up. Different ways to use the prior knowledge about the process are also discussed.

Implementation and Application of Microprocessor-Based Self-Tuners

The implementation of self-tuning controllers using a portable microcomputer system is described. Self-tuning control theory is shown to provide a variety of control objectives such as model-reference, optimal Smith prediction and the minimization of a general cost-function. Hardware and software details of the portable computer, SESAME, are presented with particular reference to the use of a new high-level language, Control Basic, and to the coding of the recursive parameter updating routine. Studies of the application of self-tuning to the control of roomtemperature, acid neutralization, and batch chemical reactors in industry are outlined.