Rapid prototyping of DSP algorithms on VLIW TMS320C6701 DSP

Hong, Kuk-Tae; Gan, Woon‐Seng; Chong, Yong Kim; Cheong, T. F.; Tan, Soon Huat

doi:10.1016/s0141-9331(02)00040-6

Cited by 13 publications

(3 citation statements)

References 9 publications

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“…The general specification of the driver is listed on Table 2. Due to the complexity of traditional controllers, in this experimental platform we utilized rapid controller prototyping cSPACE, which can provide an efficient development platform for real-time control algorithm [40]. The cSPACE system takes advantage of the C2000 DSP Embedded Target TABLE 2.…”

Section: B Experimental Platform and Experimental Resultsmentioning

confidence: 99%

Fuzzy-Set Theory Based Optimal Robust Design for Position Tracking Control of Permanent Magnet Linear Motor

et al. 2019

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In this paper, we design an optimal robust control to address the problem of position tracking control for permanent magnet linear motor (PMLM). The uncertainties in PMLM system, including parameters uncertainty and external disturbance, are nonlinear and time-varying. The uncertainties are assumed to be bounded, and the bounds are described via fuzzy sets. Then, a model-based robust control in deterministic form is proposed. Furthermore, an optimal robust control for PMLM system is formulated as a fuzzy performance index optimization problem, which associated with both the fuzzy system performance and the control cost. The resulting optimal control can guarantee the uniform boundedness and uniform ultimate boundedness. Moreover, on the experimental platform, rapid controller prototyping cSPACE is designed to avoid long time programming and debugging, and provides great convenience for practical operation. Numerical simulations and real-time experimental results are finally presented to illustrate the effectiveness of the optimal robust control for PMLM. INDEX TERMS Fuzzy set theory, optimal control, permanent magnet motors, robust control, uncertainty.

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Section: B Experimental Platform and Experimental Resultsmentioning

confidence: 99%

Fuzzy-Set Theory Based Optimal Robust Design for Position Tracking Control of Permanent Magnet Linear Motor

et al. 2019

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“…Hong described an implementation of digital signal processing algorithms using MATLAB and Texas Instrument TMS320C30 evaluation module [9]. K.H.Hong have developed a rapid prototyping VLIW based DSP system using the TMS320C6701 EVM and MATLAB Simulink and DSP algorithm kernels were implemented in block diagram for real time signal processing application and in their paper [10], performance results show that code developed using the rapid prototyping system is highly efficient and the development cycle time is greatly reduced, resulting in lower development cost.…”

Section: Introductionmentioning

confidence: 99%

Research on pressure stabilized controller of hydraulic shaking table based on rapid prototyping of DSP algorithms using SIMULINK

Wang

Zhang

et al. 2011

2011 Chinese Control and Decision Conference (CCDC)

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Theoretically analysis, and an in-depth research was made carried out on the implementation of force decoupling control of hydraulic shaking table. Because controlled DOF is 6 and the platform has 8 exciters, the whole control system is statically indeterminate, and this layout would produce huge endogenetic force during operation, so a pressure stabilized controller is used to reduce the force. The control strategy was realized based on DSP rapid prototyping. TMS320C2812 DSP was applied to acquire the analogue and digital; TMS320C6713 DSP was used to operate and communicate with embedded processor S3C2410 by dual RAM in order to improve real time and rapidity. Finally, this paper presents the implementation of a rapid prototyping control system, which involves the design of DSP algorithms using MATLAB Simulink blocksets, automated code generation in the CCS integrated development environment, and downloading the executable code to the Texas Instruments' TMS320C2812 and TMS320C6713.

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“…Chindris and Muresan [7] proposed a method for using control algorithm simulators along with code generation software to deploy applications inside programmable system-on-chip (SoC) devices. An overview of a rapid prototyping system using RTW and TI TMS320C6701-EVM is presented in [8], along with a design methodology employing various levels of optimizing techniques.…”

Section: Introductionmentioning

confidence: 99%

A Low-Cost Embedded Controller for Complex Control Systems

Peng

Xia

2008

2008 IEEE/IFIP International Conference on Embedded and Ubiquitous Computing

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The complexity of real-world industrial control systems is growing rapidly. This raises significant challenges for the use of embedded systems in control applications, since embedded platforms are generally resource limited. In this work we develop a Scilab/Scicos based embedded controller on which various control software can be easily modeled, simulated, implemented, and evaluated to meet the ever-expanding requirements of complex industrial control applications. It is built on the Cirrus Logic EP9315 ARM9 systems-on-chip board. With the developed platform, it is possible to design and implement complex embedded control systems that employ advanced control strategies in a rapid and cost-efficient fashion. Thanks to the free and open source nature of the software packages used, the cost of the embedded controller is minimized.

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Rapid prototyping of DSP algorithms on VLIW TMS320C6701 DSP

Cited by 13 publications

References 9 publications

Fuzzy-Set Theory Based Optimal Robust Design for Position Tracking Control of Permanent Magnet Linear Motor

Fuzzy-Set Theory Based Optimal Robust Design for Position Tracking Control of Permanent Magnet Linear Motor

Research on pressure stabilized controller of hydraulic shaking table based on rapid prototyping of DSP algorithms using SIMULINK

A Low-Cost Embedded Controller for Complex Control Systems

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