scholarly journals A Design Method for Low-cost and SOPC-based Flexible Lifting Control System

CONVERTER ◽  
2021 ◽  
pp. 408-418
Author(s):  
Dechun Zheng, Li Xu, Yongping Zhang, Guojun Li

To efficiently reduce the development and production costs of the intelligent lifting control system, we introduce a design method for the intelligent lifting system with client-server architecture. We replace DSP processor core or DSP (Digital Signal processor) core with Nois II soft-core processor so that the design and production costs can be effectively cut. By replacing DSP processor or DSP processor core with Nois II soft-core processor, the design and production costs can be significantly reduced. In our design, loop vector control units work as a server processor, and a central computing unit with four independent multipliers and two adders is employed, with the implementation method based on a state machine. The experimental results prove effective in reducing resource requirements for FPGA (Field Programmable Gate Array), show that the proposed method can be successfully applied to the implementation of a complete intelligent flexible lifting control system on a low-end Altera Cyclone FPGA, and servo motor control achieves better dynamic performance

2012 ◽  
Vol 466-467 ◽  
pp. 809-813
Author(s):  
Zhan Jun Yuan ◽  
Jin Wang

In order to improve voltage utilization ratio and dynamic performance of frequency converter, this paper presents a digital frequency converter design scheme based on digital signal processor TMS320LF2407A and the theory of space vector pulse width modulation (SVPWM) technology, provides its detailed design measures of software and hardware and SVPWM algorithm realization methods. The experimental results prove that this new frequency converter has simple structure, high control precision, higher voltage utilization ratio, better dynamic and static property.


2011 ◽  
Vol 268-270 ◽  
pp. 1681-1686
Author(s):  
Chao Yong Tuo

Compared with traditional three-phase motors, six-phase induction motors due to their high reliabilities and low DC side voltages can achieve high power drives using devices with lower voltage level. In this paper, it analyzes the research status of six-phase induction motors, introduces the winding structures of six-phase induction motors, and finally designs the vector control system for six-phase induction motors taking the Digital Signal Processor (DSP) as the core. It introduces DSP circuit implementations, emphasizes to describe software structures of the control system, and proposes a detailed software flow chart.


2017 ◽  
Vol 20 (2) ◽  
pp. 76
Author(s):  
S. Boukadida ◽  
S. Gdaim ◽  
A. Mtibaa

In this paper, a new design method of Direct Torque Control using Space Vector Modulation (DTC-SVM) of an Induction Machine (IM), which is based on Fault Tolerant Control (FTC) is proposed. Due to its complexity, the FTC implemented on a microcontroller and a Digital Signal Processor (DSP) is characterized by a calculating delay. To solve this problem, an alternative digital solution is used, based on the Field Programmable Gate Array (FPGA), which is characterized by a fast processing speed. However, as an FPGAs increase in size, there is a need for improved productivity, and this includes new design flows and tools. Xilinx System Generator (XSG) is a high-level block-based design tool that offers bit and cycle accurate simulation. This tool can automatically generate the Very High-Density Logic (VHDL) code without resorting to a tough programming, without being obliged to do approximations and more we can visualize the behavior of the machine before implementation which is very important for not damage our machine. Simulation and experimental results using Hardware In the Loop (HIL) of the FTC based DTC-SVM is compared with those of the conventional DTC. The comparison results illustrate the reduction in the torque and stator flux ripples. Our purpose is to reveal our algorithm efficiency and to show the Xilinx Virtex V FPGA performances in terms of execution time. 


2013 ◽  
Vol 432 ◽  
pp. 472-477
Author(s):  
Wei Fan ◽  
Tao Chen

This paper presents a robust fuzzy proportional-integral-derivative (PID) controller for brushless DC motor (BLDCM) control system. The hardware circuit of the BLDCM control system is designed and implemented using a digital signal processor (DSP) TMS320LF2407A and a monolithic BLDCM controller MC33035 as the core. Furthermore, a fuzzy PID controller, which combines the advantages of good robustness of fuzzy controller and high precision of conventional PID controller, is employed in the hardware system, thereby yielding a digital, intelligent BLDCM control system. Experimental results have shown that the control system can run steadily and control accurately, and have convincingly demonstrated the usefulness of the proposed fuzzy PID controller in BLDCM control system.


2016 ◽  
Vol 5 (2) ◽  
pp. 17-28
Author(s):  
Ravim ◽  
Suma K. V.

Designing a real-time BCI device requires an Electroencephalogram (EEG) acquisition system and a signal processing system to process that acquired data. EEG acquisition boards available in market are expensive and they are required to be connected to computer for any processing work. Various low cost Digital Signal Processor (DSP) boards available in market come with internal Analog to Digital converters and peripheral interfaces. The idea is to design a low cost EEG amplifier board that can be used with these commercially available DSP boards. The analog data from EEG amplifier can be converted to digital data by DSP board and sent to computer via an interface for algorithm development and further control operations. EEG amplifiers are highly affected by noise from environment. Proper noise reduction techniques are implemented and simulated in circuit design. Each filter stage and noise reduction circuit is evaluated for a low noise design.


2018 ◽  
Vol 10 (1) ◽  
pp. 168781401775178
Author(s):  
Wu-Sung Yao

In general, eccentric gravity machinery is a rotation mechanism with eccentric pendulum mechanism, which can be used to convert continuously kinetic energy generated by gravity energy to electric energy. However, a stable rotated velocity of the eccentric gravity machinery is difficult to be achieved only using gravity energy. In this article, a stable velocity control system applied to eccentric gravity machinery is proposed. The dynamic characteristic of eccentric gravity machinery is analyzed and its mathematical model is established, which is used to design the controller. A stable running velocity of the eccentric gravity machinery can be operated by the controlled servomotor. Due to disturbances being periodic, repetitive controller is installed to velocity control loop. The stability performance and control performance of the repetitive control system are discussed. The iterative algorithm of the repetitive control is executed by a digital signal processor TI TMS320C32 floating-point processor. Simulated and experimental results are reported to verify the performance of the proposed eccentric gravity machinery control system.


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