scholarly journals On Chip Rapid Control Prototyping for DC motor

J3eA ◽  
2021 ◽  
Vol 20 ◽  
pp. 0001
Author(s):  
Romain Delpoux ◽  
Lubin Kerhuel ◽  
Vincent Léchappé
Keyword(s):  
Control System ◽  
Feedback Loop ◽  
Design Procedure ◽  
Dc Motor ◽  
Control Algorithms ◽  
Current Feedback ◽  
Rapid Control ◽  
Rapid Control Prototyping ◽  
On Chip ◽  
High Level

This paper proposes a method for Rapid Control Prototyping (RCP) targeting microcontrollers. The methodology relies on a Matlab/Simulink interface which makes the target configuration and coding easier. Developing low level embedded code is bypassed by a high-level implementation which is straightforward for control system engineers. This article is intended for students, engineers or researchers looking to validate the effectiveness of their control algorithms on industrial targets. The design procedure is illustrated by testing various speed and current feedback loop on a DC motor.

scholarly journals Controller Design for a Second-Order Plant with Uncertain Parameters and Disturbance: Application to a DC Motor

2013 ◽  
Vol 2013 ◽  
pp. 1-16 ◽  
Author(s):  
Alejandro Rincón ◽  
Fredy E. Hoyos ◽  
Fabiola Angulo
Keyword(s):  
Controller Design ◽  
Digital Signal ◽  
Dc Motor ◽  
Second Order ◽  
Motor Speed ◽  
Adaptive Backstepping ◽  
Control Framework ◽  
Rapid Control ◽  
Time Varying Parameters ◽  
Rapid Control Prototyping

This paper shows the controller design for a second-order plant with unknown varying behavior in the parameters and in the disturbance. The state adaptive backstepping technique is used as control framework, but important modifications are introduced. The controller design achieves mainly the following two benefits: upper or lower bounds of the time-varying parameters of the model are not required, and the formulation of the control and update laws and stability analysis are simpler than closely related works that use the Nussbaum gain method. The controller has been developed and tested for a DC motor speed control and it has been implemented in a Rapid Control Prototyping system based on Digital Signal Processing for dSPACE platform. The motor speed converges to a predefined desired output signal.

scholarly journals Adaptive Quasi-Sliding Mode Control for Permanent Magnet DC Motor

2013 ◽  
Vol 2013 ◽  
pp. 1-12 ◽  
Author(s):  
Fredy E. Hoyos ◽  
Alejandro Rincón ◽  
John Alexander Taborda ◽  
Nicolás Toro ◽  
Fabiola Angulo
Keyword(s):  
Controller Design ◽  
Sliding Mode ◽  
Digital Signal ◽  
Coupled System ◽  
Dc Motor ◽  
Power Converter ◽  
Control Technique ◽  
Motor Speed ◽  
Rapid Control ◽  
Rapid Control Prototyping

The motor speed of a buck power converter and DC motor coupled system is controlled by means of a quasi-sliding scheme. The fixed point inducting control technique and the zero average dynamics strategy are used in the controller design. To estimate the load and friction torques an online estimator, computed by the least mean squares method, is used. The control scheme is tested in a rapid control prototyping system which is based on digital signal processing for a dSPACE platform. The closed loop system exhibits adequate performance, and experimental and simulation results match.

Teaching Neural Network Control System Design Using a Low-Cost Rapid Control Prototyping Platform

2013 ◽  
Author(s):  
Francisco Franquiz ◽  
Alecia Hurst ◽  
Yan Tang
Keyword(s):  
Neural Network ◽  
Control System ◽  
Low Cost ◽  
Network Control ◽  
Control System Design ◽  
Neural Network Control ◽  
Neural Network Controller ◽  
Network Controller ◽  
Rapid Control ◽  
Rapid Control Prototyping

This paper presents the use of a low-cost rapid control prototyping platform, HILINK, in teaching a graduate course on neural network control system design for mechanical engineering students. The HILINK platform offers a seamless interface between physical plants and Simulink for implementation of hardware-in-the-loop real-time control systems. With HILINK, student can quickly build a neural network controller for applications using Neural Network Toolbox in Simulink. As a result, students can use one single environment for both computer simulation and hardware implementation to understand theories and tackle practical issues in a limited time frame. The paper presents the experimental setup and implementation process of the NARMA-L2 controller for DC motor speed control, and demonstrates the convenience and effectiveness of using HILINK in developing a neural network controller.

Design of Brushless DC Motor Control System Based on ARM

2012 ◽  
Vol 529 ◽  
pp. 454-458
Author(s):  
Hong Mei Yang ◽  
Xin Yu ◽  
Hua Guo ◽  
Xing Lin Zhang
Keyword(s):  
Control System ◽  
Pulse Width Modulation ◽  
Low Cost ◽  
Dc Motor ◽  
Brushless Dc Motor ◽  
Loop Control ◽  
Precise Control ◽  
Brushless Dc ◽  
Dc Motor Control ◽  
On Chip

In order to achieve the precise control of brushless DC motor better, the system utilizes powerful motion control performance and rich on-chip peripheral resources of 32-bit microprocessor LM3S811. combining with Pulse Width Modulation tecnology and Proportion Integration Differentiation closed-loop control algorithm based on feedback, designs a stable and efficient three-phase full-bridge inverter driver circuit and achieves a reliable control system of brushless DC motor based on ARM Cortex-M3 microprocessor platform. Low power and low cost performance will make the system has good market prospects and application value.

Control System Design of High-Power Induction Cooker

2013 ◽  
Vol 753-755 ◽  
pp. 2598-2601
Author(s):  
Zi Ming Zou ◽  
Shi Yun Cui
Keyword(s):  
Control System ◽  
System Design ◽  
Induction Heating ◽  
High Power ◽  
Feedback Loop ◽  
Control System Design ◽  
Fast Heating ◽  
Current Feedback ◽  
Load Current ◽  
Series Resonant

This artical designed and produced a half-bridge series resonant induction heating cooker induction cooker whose power is15kHz . The main controller of the cooker is S3F9454, and SG3525 is for adjusting the frequency, the principle of induction heating is the basis of its , by the load current feedback loop and PI we can get the adjustment of the frequency and power of the system. The practical use shows that the output power of the system is stable, and it has the advantages of high thermal efficiency and fast heating.

scholarly journals Controlling a DC Motor through Lypaunov-like Functions and SAB Technique

2018 ◽  
Vol 8 (4) ◽  
pp. 2180
Author(s):  
Alejandro Rincón ◽  
Fabiola Angulo ◽  
Fredy Hoyos
Keyword(s):  
Digital Signal ◽  
Adaptive Controller ◽  
Dc Motor ◽  
Motor Speed ◽  
Adaptive Backstepping ◽  
Inertia Moment ◽  
Rapid Control ◽  
Rapid Control Prototyping ◽  
Robust Adaptive ◽  
Robust Adaptive Controller

<p>In this paper, state adaptive backstepping and Lyapunov-like function methods are used to design a robust adaptive controller for a DC motor. The output to be controlled is the motor speed. It is assumed that the load torque and inertia moment exhibit unknown but bounded time-varying behavior, and that the measurement of the motor speed and motor current are corrupted by noise. The controller is implemented in a Rapid Control Prototyping system based on Digital Signal Processing for dSPACE platform and experimental results agree with theory.</p>

Sign in / Sign up

Export Citation Format

Share Document