Implementation of Edge-Type Model Predictive Control on Generic Programmable Logic Controller Compliant to IEC61131-3 Standard

2020 ◽  
Vol 140 (9) ◽  
pp. 1057-1063
Author(s):  
Yoshio Tange ◽  
Satoshi Kiryu ◽  
Tetsuro Matsui
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Programmable Logic Controller ◽  
Type Model ◽  
Programmable Logic ◽  
Edge Type

scholarly journals Towards Online Model Predictive Control on a Programmable Logic Controller: Practical Considerations

2012 ◽  
Vol 2012 ◽  
pp. 1-20 ◽  
Author(s):  
Bart Huyck ◽  
Hans Joachim Ferreau ◽  
Moritz Diehl ◽  
Jos De Brabanter ◽  
Jan F. M. Van Impe ◽  
...  
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Programmable Logic Controller ◽  
Quadratic Program ◽  
Small Scale ◽  
Programmable Logic ◽  
Problem Size ◽  
Code Generator ◽  
Single Output ◽  
Output System

Given the growing computational power of embedded controllers, the use of model predictive control (MPC) strategies on this type of devices becomes more and more attractive. This paper investigates the use of online MPC, in which at each step, an optimization problem is solved, on both a programmable automation controller (PAC) and a programmable logic controller (PLC). Three different optimization routines to solve the quadratic program were investigated with respect to their applicability on these devices. To this end, an air heating setup was built and selected as a small-scale multi-input single-output system. It turns out that the code generator (CVXGEN) is not suited for the PLC as the required programming language is not available and the programming concept with preallocated memory consumes too much memory. The Hildreth and qpOASES algorithms successfully controlled the setup running on the PLC hardware. Both algorithms perform similarly, although it takes more time to calculate a solution for qpOASES. However, if the problem size increases, it is expected that the high number of required iterations when the constraints are hit will cause the Hildreth algorithm to exceed the necessary time to present a solution. For this small heating problem under test, the Hildreth algorithm is selected as most useful on a PLC.

scholarly journals Model-Predictive Control and Closed-Loop Stability Considerations for Nonlinear Plants Described by Local ARX-Type Models

2013 ◽  
Author(s):  
Michael E. Cholette ◽  
Dragan Djurdjanovic
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Optimization Problem ◽  
Closed Loop ◽  
Type Model ◽  
Control Input ◽  
Dual Purpose ◽  
Nonlinear Plants ◽  
And Control ◽  
Local Input

In this paper, a model-predictive control (MPC) method is detailed for the control of nonlinear systems with stability considerations. It will be assumed that the plant is described by a local input/output ARX-type model, with the control potentially included in the premise variables, which enables the control of systems that are nonlinear in both the state and control input. Additionally, for the case of set point regulation, a suboptimal controller is derived which has the dual purpose of ensuring stability and enabling finite-iteration termination of the iterative procedure used to solve the nonlinear optimization problem that is used to determine the control signal.

Mean-Field-Type Model Predictive Control

2021 ◽  
pp. 379-388
Author(s):  
Julian Barreiro-Gomez ◽  
Hamidou Tembine
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Mean Field ◽  
Type Model ◽  
Field Type
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