The Application of a New PID Autotuning Method for the Steam/Water Loop in Large Scale Ships

Abstract

In large scale ships, the most used controllers for the steam/water loop are still the proportional-integral-derivative (PID) controllers. However, the tuning rules for the PID parameters are based on empirical knowledge and the performance for the loops is not satisfying. In order to improve the control performance of the steam/water loop, the application of a recently developed PID autotuning method is studied. Firstly, a ‘forbidden region’ on the Nyquist plane can be obtained based on user-defined performance requirements such as robustness or gain margin and phase margin. Secondly, the dynamic of the system can be obtained with a sine test around the operation point. Finally, the PID controller’s parameters can be obtained by locating the frequency response of the controlled system at the edge of the ‘forbidden region’. To verify the effectiveness of the new PID autotuning method, comparisons are presented with other PID autotuning methods, as well as the model predictive control. The results show the superiority of the new PID autotuning method.

PID Controller Design for Heating Furnace Temperature Based on Bat Algorithm (BA)

“…Adjusting the controller gain based on the factory model or factory data is known as auto PID tuning. Use the PID auto-tuning technique to tune real-time PID gain to a physical plant, or use Simulink Control Design to fine-tune PID acquisition in Simulink models [13]. Bat Algorithm (BA) is an algorithm inspired by the behavior of bats (Bat Behavior).…”

Trajectory Tracking Design for Unmanned Surface Vessels: Robust Control Approach

“…To achieve this trajectorytracking target, hundreds of works related to the control design of autonomous ships have been published over the past few decades. Many conventional controllers that do not consider USV dynamics, such as Fuzzy Logic, PI, or PID controllers, are proposed for ships [3][4][5][6]. Under certain operation conditions, these published controllers were useful for ships' autonomous control designs.…”

Development of an Antiwindup Technique for a Cascade Control System

“…Various autotuning methods have been proposed and applied in industry to automatically determine the tuning parameters of the PID controller. 1 − 12 Also, enhanced controllers involving multiple PID controllers and process models (model-based PID controllers, multi-input–multi-output PID controllers, combined feedback and feedforward PID controllers, time delay compensators, and cascade controllers) have been developed and widely applied to various fields. 1 , 2 , 13 − 15 However, less attention has been devoted to antiwindup techniques that prevent the performance degradation of the PID controller, which can be attributed to the integral windup, owing to the saturation of the actuator.…”

“…Until now, many efforts have been devoted to improve the control performance of the PID controller. Various autotuning methods have been proposed and applied in industry to automatically determine the tuning parameters of the PID controller. − Also, enhanced controllers involving multiple PID controllers and process models (model-based PID controllers, multi-input–multi-output PID controllers, combined feedback and feedforward PID controllers, time delay compensators, and cascade controllers) have been developed and widely applied to various fields. ,,− However, less attention has been devoted to antiwindup techniques that prevent the performance degradation of the PID controller, which can be attributed to the integral windup, owing to the saturation of the actuator. , Only a few antiwindup techniques have been proposed to manipulate the cascade-type integral windup phenomenon in a cascade PID control system. − However, these techniques require an additional process model and cannot systematically manipulate the time delay. Furthermore, they are considerably complicated and necessitate the application of a heavy computation load, eliminating the advantage associated with the use of the PID controller.…”