Advances in Rapid Control Prototyping - Results of a Pilot Project for Engine Control -

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.

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Design and implementation methodology for rapid control prototyping of closed loop speed control for BLDC motor

Journal of Electrical Systems and Information Technology ◽

10.1016/j.jesit.2016.12.005 ◽

2018 ◽

Vol 5 (1) ◽

pp. 99-111 ◽

Cited By ~ 7

Author(s):

Devendra Potnuru ◽

Alice Mary K. ◽

Saibabu Ch.

Keyword(s):

Closed Loop ◽

Speed Control ◽

Bldc Motor ◽

Design And Implementation ◽

Rapid Control ◽

Rapid Control Prototyping ◽

Implementation Methodology

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

International Journal of Bifurcation and Chaos ◽

10.1142/s0218127415500492 ◽

2015 ◽

Vol 25 (04) ◽

pp. 1550049 ◽

Cited By ~ 6

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.

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