scholarly journals Hybrid Optimization Process Applied to Tuning of Dynamic Matrix Control: Study Case with DC Motor

2017 ◽  
Vol 2 (2) ◽  
pp. 24
Author(s):  
Douglas Freire De Carvalho ◽  
Cleber Asmar Ganzaroli ◽  
Luiz Alberto Do Couto ◽  
Rafael Nunes Hidalgo Monteiro Dias ◽  
Wesley Pacheco Calixto
Keyword(s):  
Transient State ◽  
Optimization Methods ◽  
Dc Motor ◽  
Hybrid Optimization ◽  
Control Technique ◽  
Dynamic Matrix Control ◽  
Dynamic Matrix ◽  
Prediction Horizon ◽  
Damping Rate ◽  
Matrix Control

This paper presents study about Dynamic Matrix Control (DMC) controller applied to speed control of DC motor. DMC controller parameters (prediction horizon, control horizon and damping rate of reference) are obtained through optimization methods employing heuristic, deterministic and hybrid strategies. The use of advanced control technique combined with using of optimization methods aims to achieve highly efficient control, reducing the transient state period and variations in steady state. These methods were applied on a simulation model in order to verify which one provides better control results. Index Terms—Predictive Control, Deterministic Optimization, Heuristic Optimization, Hybrid Optimization, DC motor. 

scholarly journals Dynamic Matrix Control and Tuning Parameters Analysis for a DC Motor System Control

2018 ◽  
Vol 8 (5) ◽  
pp. 3416-3420
Author(s):  
M. Ndje ◽  
J. M. Nyobe Yome ◽  
A. T. Boum ◽  
L. Bitjoka ◽  
J. C. Kamgang
Keyword(s):  
Mechanical Load ◽  
Dc Motor ◽  
Parameter Analysis ◽  
Tuning Parameter ◽  
System Control ◽  
Dynamic Matrix Control ◽  
Dynamic Matrix ◽  
Efficient Control ◽  
Matrix Control ◽  
Parameter Values

Model predictive control (MPC) in system control industry overrides the challenges of conventional controllers in controlling complex systems. However, for efficient control, it is essential to find the best combination of parameter values. In this paper, we present the implementation of a multivariable dynamic matrix control (DMC) algorithm. An industrial system consisting of a DC motor, coupled to a mechanical load, the assembly associated with an electronic speed variator was considered to test the implemented DMC controller. DMC’s tuning parameter analysis on the manipulated inputs and their variations on the controlled outputs was performed. Results guarantee that efficient control was presented.

Dynamic multi-objective matrix control for a class of switched systems

2021 ◽  
pp. 014233122199338
Author(s):  
Ali Thamallah ◽  
Anis Sakly ◽  
Faouzi M’Sahli
Keyword(s):  
Switched Systems ◽  
Optimization Problem ◽  
Control Method ◽  
Optimization Procedure ◽  
Control Law ◽  
Dynamic Matrix Control ◽  
General Reference ◽  
Multi Objective ◽  
Dynamic Matrix ◽  
Matrix Control

This article focuses on the tracking and stabilizing issues of a class of discrete switched systems. These systems are characterized by unknown switching sequences, a non-minimum phase, and time-varying or dead modes. In particular, for those governed by an indeterminate switching signal, it is very complicated to synthesize a control law able to systematically approach general reference-tracking difficulties. Taking into account the difficulty to express the dynamic of this class of systems, the present paper presents a new Dynamic matrix control method based on the multi-objective optimization and the truncated impulse response model. The formulation of the optimization problem aims to approach the general step-tracking issues under persistent and indeterminate mode changes and to overcome the stability problem along with retaining as many desirable features of the standard dynamic matrix control (DMC) method as possible. In addition, the formulated optimization problem integrates estimator variables able to manipulate the optimization procedure in favor of the active mode with an appropriate adjustment. It also provides a progressive and smooth multi-objective control law even in the presence of problems whether in subsystems or switching sequences. Finally, simulation examples and comparison tests are conducted to illustrate the potentiality and effectiveness of the developed method.

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