Research on the Robustness and Integral Performance Optimization of PI Control System

2012 ◽  
Vol 7 (11) ◽  
pp. 209-216 ◽  
Author(s):  
Guoqing Dang ◽  
Xiaoyan Cheng
Keyword(s):  
Control System ◽  
Performance Optimization ◽  
Pi Control

ON COMPARATIVE ANALYSIS OF PERFORMANCE OPTIMIZATION METHODS OF MULTI-PUMP UNITS

2020 ◽  
pp. 23-28
Author(s):  
A.I. Glushchenko ◽  
M.Yu. Serov
Keyword(s):  
Energy Efficiency ◽  
Control System ◽  
Comparative Analysis ◽  
Performance Optimization ◽  
Optimization Methods ◽  
Online Optimization ◽  
New Approach ◽  
Advantages And Disadvantages ◽  
Analysis Of Performance

В статье рассматривается вопрос совершенствования системы управления параллельно-работающими насосными агрегатами с целью повышения энергоэффективности их работы. Проведено сравнение и выявление недостатков существующих методов решения рассматриваемой проблемы. Предложена идея нового подхода на базе онлайн оптимизации. The problem under consideration is improvement of the energy efficiency of a control system of parallel-running pump units. Known methods used to solve this problem are considered. Their advantages and disadvantages are shown. Finally, the idea of a new approach, which is based on online optimization, is proposed.

Auto-Tuning Tub-Level Control of Blender in Hydraulic Fracturing

2016 ◽  
Author(s):  
Zheng Chen ◽  
Leslie Cargill ◽  
Brent Naizer
Keyword(s):  
Control System ◽  
Hydraulic Fracturing ◽  
Oil And Gas ◽  
Pi Control ◽  
Automation System ◽  
Control Performance ◽  
Level Control ◽  
Relay Feedback ◽  
System Parameters ◽  
Auto Tuning

Hydraulic fracturing is one of the key technologies for producing shale oil and gas. During hydraulic fracturing, a blender is used to mix sand with water and chemicals to obtain a fluidic mixture that will be pumped down a well to frack rocks. In order to achieve high-quality fracturing during a job, the blender needs to maintain its tub level as well as the density of the fluidic mixture. In this paper, an auto-tuning proportional-integral (PI) control is developed for the blender automation system to maintain the tub level of its fluidic mixture. The control system adopts a single-loop PI with gains that can be auto-tuned during a job. A relay feedback test is conducted for auto-tuning the PI gains online. The auto-tuning PI control has been successfully tested in a blender simulator. Experimental results have shown that the control performance was improved after auto-tuning and that the control system was adaptive to variation in system parameters.

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