Rapid Control Prototyping (RCP) solutions for the validation of motor control applications

2016 ◽  
Author(s):  
Jihas Khan
Keyword(s):  
Motor Control ◽  
Control Applications ◽  
Rapid Control ◽  
Rapid Control Prototyping

Rapid Control Prototyping Design of DSP-Based Motion Controller

2011 ◽  
Vol 383-390 ◽  
pp. 308-314
Author(s):  
Lin Li ◽  
Zhi Ming Peng ◽  
Bi Cong Zhang ◽  
Zhang Tie
Keyword(s):  
Code Generation ◽  
Automatic Code Generation ◽  
Motion Controller ◽  
Application System ◽  
Pid Algorithm ◽  
Development Platform ◽  
Development Cycle ◽  
Rapid Control ◽  
Rapid Control Prototyping ◽  
Automatic Code

This paper presents a Rapid Control Prototyping (RCP) development platform based on Matlab/Simulink, Real-Time Workshop and Embedded Target for C2000 and DSP development board. It also designs TMS320F2812 DSP-based motion controller under the proposed RCP. The controller using saturated integral PID algorithm produces PWM signal to control DC motor. Experimental results show that the designed controller can control motor accurately. Engineers can complete all design tasks such as modeling, automatic code generation, and download, running and parameters adjustment on this RCP platform when developing DSP application system. Thus the proposed RCP can shorten the DSP development cycle and improve the portability and modularity of program.

Adaptive Control for Buck Power Converter Using Fixed Point Inducting Control and Zero Average Dynamics Strategies

2015 ◽  
Vol 25 (04) ◽  
pp. 1550049 ◽  
Author(s):  
Fredy Edimer Hoyos Velasco ◽  
Nicolás Toro García ◽  
Yeison Alberto Garcés Gómez
Keyword(s):  
Fixed Point ◽  
Digital Signal ◽  
Power Converter ◽  
Buck Converter ◽  
Control Techniques ◽  
Comparison Results ◽  
Control Scheme ◽  
Rapid Control ◽  
Rapid Control Prototyping ◽  
Lms Method

In this paper, the output voltage of a buck power converter is controlled by means of a quasi-sliding scheme. The Fixed Point Inducting Control (FPIC) technique is used for the control design, based on the Zero Average Dynamics (ZAD) strategy, including load estimation by means of the Least Mean Squares (LMS) method. The control scheme is tested in a Rapid Control Prototyping (RCP) system based on Digital Signal Processing (DSP) for dSPACE platform. The closed loop system shows adequate performance. The experimental and simulation results match. The main contribution of this paper is to introduce the load estimator by means of LMS, to make ZAD and FPIC control feasible in load variation conditions. In addition, comparison results for controlled buck converter with SMC, PID and ZAD–FPIC control techniques are shown.

Kein Widerspruch: Funktionale Sicherheit und Rapid Control Prototyping

ATZextra ◽  
2015 ◽  
Vol 20 (S1) ◽  
pp. 26-29
Author(s):  
Martin Eckmann ◽  
Christian Loske ◽  
Jürgen Wüllner
Keyword(s):  
Rapid Control ◽  
Rapid Control Prototyping ◽  
Funktionale Sicherheit
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