IoT fusion based model predictive pid control approach for oil pipeline infrastructure

2021 ◽  
Vol 35 ◽  
pp. 100485
Author(s):  
E.B. Priyanka ◽  
S. Thangavel ◽  
P.H. Prasad ◽  
R. Mohanasundaram
Keyword(s):  
Pid Control ◽  
Control Approach ◽  
Oil Pipeline

scholarly journals Correction to: Quadrotor Modeling and a PID Control Approach

2020 ◽  
pp. C1-C1 ◽  
Author(s):  
César A. Cárdenas R. ◽  
Víctor Hugo Grisales ◽  
Carlos Andrés Collazos Morales ◽  
H. D. Cerón-Muñoz ◽  
Paola Ariza-Colpas ◽  
...  
Keyword(s):  
Pid Control ◽  
Control Approach

DESIGN AND REAL-TIME PID CONTROL APPROACH OF A TWO-WHEELED VEHICLE WITH AN EXTENDED ROD

2011 ◽  
Author(s):  
A C Corredor Rosendo ◽  
S A Agouri ◽  
M O Tokhi ◽  
K M Goher
Keyword(s):  
Real Time ◽  
Pid Control ◽  
Control Approach ◽  
Wheeled Vehicle

Study and Application of a Slide Mode Control on Pneumatic Force Servo System

2012 ◽  
Vol 466-467 ◽  
pp. 896-900
Author(s):  
Yan Li Yang ◽  
Wei Xiang Shi ◽  
Yan Cao ◽  
Lei Lei
Keyword(s):  
Pid Control ◽  
Sliding Mode ◽  
Servo System ◽  
Servo Control ◽  
Time Varying ◽  
Slide Mode Control ◽  
Control Approach ◽  
Mode Control ◽  
Servo Control System ◽  
Identification Approach

In this paper, a sliding mode control approach combined with the boundary saturation function approach is put forward and used in a pneumatic force servo system to achieve an exact force control. First, a comparatively accurate model of the system is obtained by using the system identification approach and an analysis is made on the time-varying nature of the model. Then, it is designed by use of the boundary saturation approach, thus overcoming the system instability caused by the non-linearity of the proportional pressure valve and the change of the temperature inside the air cylinder. Finally, the performance of the pneumatic force servo control system is simulated and a comparison is made with the PID control. Results show the feasibility and effectiveness of the approach.

Inventory Control and Simulation Optimization in Supply Chain Network Based on MPC

2011 ◽  
Vol 66-68 ◽  
pp. 1718-1723
Author(s):  
Chun Ling Liu ◽  
Ji Zi Li ◽  
You Wu
Keyword(s):  
Supply Chain ◽  
Inventory Control ◽  
Predictive Control ◽  
Pid Control ◽  
Dynamic Performance ◽  
Operating Cost ◽  
Control Policy ◽  
Supply Chain Network ◽  
Control Effect ◽  
Control Approach

The control approach applies multivariable model-predictive control principles to the entire network. The optimization scheme based on predictive-control aims at adjusting the decision variables in the supply chain to satisfy the customer orders with the least operating cost over a specified rolling time horizon using a detailed difference model of the system. Dedicated feedback controllers are utilized to maintain product inventory at all nodes of the supply chain network within pre-specified target levels that are subsequently embedded within the optimization control framework. The PID control policy is applied to promoting the predictive control effect, and the comparative simulations of the system under both PID and non-PID control are exerted. Simulated results prove that the inventory control system with the proposed MPC optimizations show good dynamic performance. But the MPC approach combined with PID control makes better effect on inventory predicted control in the supply chain network.

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