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

Processes ◽  
2020 ◽  
Vol 8 (2) ◽  
pp. 196 ◽  
Author(s):  
Shiquan Zhao ◽  
Sheng Liu ◽  
Robain De Keyser ◽  
Clara-Mihaela Ionescu
Keyword(s):  
Predictive Control ◽  
Large Scale ◽  
Pid Controllers ◽  
Empirical Knowledge ◽  
Control Performance ◽  
Proportional Integral Derivative ◽  
Controlled System ◽  
Performance Requirements ◽  
Gain Margin ◽  
Forbidden Region

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.

Performance-Adaptive Generalized Predictive Control-Based Proportional-Integral-Derivative Control System and Its Application

2014 ◽  
Vol 136 (6) ◽  
Author(s):  
Takao Sato ◽  
Toru Yamamoto ◽  
Nozomu Araki ◽  
Yasuo Konishi
Keyword(s):  
Control System ◽  
Predictive Control ◽  
Pid Control ◽  
Design Method ◽  
Design Parameters ◽  
Generalized Predictive Control ◽  
Control Performance ◽  
Proportional Integral Derivative ◽  
Proportional Integral ◽  
Proportional Integral Derivative Control

In the present paper, we discuss a new design method for a proportional-integral-derivative (PID) control system using a model predictive approach. The PID compensator is designed based on generalized predictive control (GPC). The PID parameters are adaptively updated such that the control performance is improved because the design parameters of GPC are selected automatically in order to attain a user-specified control performance. In the proposed scheme, the estimated plant parameters are updated only when the prediction error increases. Therefore, the control system is not updated frequently. The control system is updated only when the control performance is sufficiently improved. The effectiveness of the proposed method is demonstrated numerically. Finally, the proposed method is applied to a weigh feeder, and experimental results are presented.

scholarly journals Dual-valve parallel prediction control for an electro-hydraulic servo system

2019 ◽  
Vol 103 (1) ◽  
pp. 003685041987566
Author(s):  
Shi-jie Su ◽  
Yuan-yuan Zhu ◽  
Cun-jun Li ◽  
Wen-xian Tang ◽  
Hai-rong Wang
Keyword(s):  
Dynamic Response ◽  
Predictive Control ◽  
Servo System ◽  
High Flow ◽  
Control Performance ◽  
Proportional Integral Derivative ◽  
Hydraulic Servo ◽  
Response Performance ◽  
Hydraulic Servo System ◽  
Control Accuracy

To improve the dynamic response performance of a high-flow electro-hydraulic servo system, scholars have conducted considerable research on the synchronous and time-sharing controls of multiple valves. However, most scholars have used offline optimization to improve control performance. Thus, control performance cannot be dynamically adjusted or optimized. To repeatedly optimize the performance of multiple valves online, this study proposes a method for connecting a high-flow proportional valve in parallel with a low-flow servo valve. Moreover, this study proposes an algorithm in which a proportional–integral–derivative system and multivariable predictive control system are used as an inner loop and outer loop, respectively. The simulation and experimental results revealed that dual-valve parallel control could effectively improve the control accuracy and dynamic response performance of an electro-hydraulic servo system and that the proportional-integral-derivative–multivariable predictive control controller could further dynamically improve the control accuracy.

Control performance evaluation of reverse osmosis desalination system based on model predictive control and PID controllers

2016 ◽  
Vol 57 (55) ◽  
pp. 26692-26699 ◽  
Author(s):  
Iman Janghorban Esfahani ◽  
Pouya Ifaei ◽  
Jouan Rshidi ◽  
ChangKyoo Yoo
Keyword(s):  
Performance Evaluation ◽  
Model Predictive Control ◽  
Reverse Osmosis ◽  
Predictive Control ◽  
Pid Controllers ◽  
Control Performance ◽  
Reverse Osmosis Desalination

Novel Multiagent Model-Predictive Control Performance Indices for Monitoring of a Large-Scale Distributed Water System

2018 ◽  
Vol 12 (2) ◽  
pp. 1286-1294 ◽  
Author(s):  
Mojtaba Kordestani ◽  
Ali Akbar Safavi ◽  
Narjes Sharafi ◽  
Mehrdad Saif
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Large Scale ◽  
Water System ◽  
Control Performance ◽  
Performance Indices

scholarly journals The Potential of Fractional Order Distributed MPC Applied to Steam/Water Loop in Large Scale Ships

Processes ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. 451 ◽  
Author(s):  
Shiquan Zhao ◽  
Ricardo Cajo ◽  
Robain De De Keyser ◽  
Clara-Mihaela Ionescu
Keyword(s):  
Model Predictive Control ◽  
Cost Function ◽  
Fractional Order ◽  
Predictive Control ◽  
Large Scale ◽  
Adaptive Controller ◽  
Control Performance ◽  
Order Model ◽  
Fractional Order Model ◽  
Load Fluctuation

The steam/water loop is a crucial part of a steam power plant. However, satisfying control performance is difficult to obtain due to the frequent disturbance and load fluctuation. A fractional order model predictive control was studied in this paper to improve the control performance of the steam/water loop. Firstly, the dynamic of the steam/water loop was introduced in large-scale ships. Then, the model predictive control with an extended prediction self adaptive controller framework was designed for the steam/water loop with a distributed scheme. Instead of an integer cost function, a fractional order cost function was applied in the model predictive control optimization step. The superiority of the fractional order model predictive control was validated with reference tracking and load fluctuation experiments.

scholarly journals Design and Comparison of Reinforcement-Learning-Based Time-Varying PID Controllers with Gain-Scheduled Actions

Machines ◽  
2021 ◽  
Vol 9 (12) ◽  
pp. 319
Author(s):  
Yi-Liang Yeh ◽  
Po-Kai Yang
Keyword(s):  
Reinforcement Learning ◽  
Learning Algorithm ◽  
Pid Controllers ◽  
Time Varying ◽  
Bandit Problem ◽  
Proportional Integral Derivative ◽  
System Behavior ◽  
Performance Requirements ◽  
Gain Scheduled ◽  
Control Designs

This paper presents innovative reinforcement learning methods for automatically tuning the parameters of a proportional integral derivative controller. Conventionally, the high dimension of the Q-table is a primary drawback when implementing a reinforcement learning algorithm. To overcome the obstacle, the idea underlying the n-armed bandit problem is used in this paper. Moreover, gain-scheduled actions are presented to tune the algorithms to improve the overall system behavior; therefore, the proposed controllers fulfill the multiple performance requirements. An experiment was conducted for the piezo-actuated stage to illustrate the effectiveness of the proposed control designs relative to competing algorithms.

scholarly journals A novel fast model predictive control with actuator saturation for large-scale structures

2017 ◽  
Vol 187 ◽  
pp. 35-49 ◽  
Author(s):  
Haijun Peng ◽  
Fei Li ◽  
Sheng Zhang ◽  
Biaosong Chen
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Large Scale ◽  
Actuator Saturation ◽  
Large Scale Structures ◽  
Scale Structures
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