Hardware design of programmable fuzzy controller on FPGA

Nouri, Mohammad; Hachicha, Mohamed Radhouan; Kamoun, Lotfı

doi:10.1109/fuzzy.1999.790157

Cited by 9 publications

(10 citation statements)

References 1 publication

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“…This comparison was made after compiling the design using the ISE program provided by Xilinx Company, because this tool provides a clear Report for the chip resources, even it was used by the authors in the literature. This comparison is listed in (Jain et al, 2009), (Masmoudi et al, 1999) and (Jain et al, 1999) By Using CS5. …”

Section: Results Comparison and Discussionmentioning

confidence: 99%

“…It is not considered by this author either. Therefore, a comparison is made with the proposed 8FB (PIDFC) with those presented in (Jain et al, 2009), (Masmoudi et al, 1999) and (Jain et al, 1999). This comparison is listed in Table 15.…”

Section: Results Comparison and Discussionmentioning

confidence: 99%

“…In CS5, a mathematical model of nonlinear plant (inverted pendulum) was used to test the controller with a unity feedback control system. This case has been used in (Jain et al, 2009), (Masmoudi et al, 1999) and (Jain et al, 1999) (Matlabbased) with different types of controllers. In (Jain et al, 2009), Bacterial Foraging (BF) algorithm was used for tuning the parameters of the PID controller for optimal performance, while (Jain et al, 1999) used a comparison between Evolutionary Algorithms namely Gas (Genetic Algorithms), and Swarm Intelligence i.e.…”

Section: Results Comparison and Discussionmentioning

confidence: 99%

See 2 more Smart Citations

Design of PSO-Based Optimal/Tunable PID Fuzzy Logic Controller Using FPGA

Obaid¹,

Salman²,

Ali³

et al. 2011

MATLAB - A Ubiquitous Tool for the Practical Engineer

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Section: Results Comparison and Discussionmentioning

confidence: 99%

Section: Results Comparison and Discussionmentioning

confidence: 99%

Section: Results Comparison and Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Design of PSO-Based Optimal/Tunable PID Fuzzy Logic Controller Using FPGA

Obaid¹,

Salman²,

Ali³

et al. 2011

MATLAB - A Ubiquitous Tool for the Practical Engineer

View full text Add to dashboard Cite

“…As comparing the results of Takagi-Sugeno design with Mamdani design' results, it can be concluded that the consumed area of Takagi-Sugeno design is less than Mamdani's as result of using additional units in Mamdani's system to find Fuzzy outputs as in Ref. [13]. Using LUTs in Takagi-Sugeno design in parallel have also reduce the complexity and computation of the design in addition to the fast execution of the system.…”

Section: -Conclusionmentioning

confidence: 94%

Design and FPGA Implementation of Takagi- Sugeno Fuzzy Controller Based on LUTs

Majeed¹

2010

(AREJ)

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In this paper, an approach for designing Fuzzy Controller based on Takagi-Sugeno inference engine with high computational speeds in architecture is proposed. The work focuses on advantages and disadvantages of Takagi-Sugeno control as compared with Mamdani's', in addition to focus on how computational complexity of the inference engine can be reduced and the speed of computation can be increased. Fuzzy Controller is implemented on FPGA using Look-Up Table (LUT). Whereas, each LUT is represented by Block RAMs in FPGA besides using number of arithmetic units in the design. To interface the design with users, a GUI program is designed using Visual Basic. Using JTAG port, the GUI's data can be stored in Block RAMs. Later, a designed Air Conditioning application is implemented and the practical results (in FPGA), theoretical results (computed by hand) and Matlab results are compared.

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“…Simultaneously mixed signal devices performing computation in analog way and programmable in digital way were used for research [6]. Growing complexity of programmable logic devices encouraged extensive practical use of digital architectures [7], [8], sometimes leading to modification of the algorithms towards easier implementation in hardware [9]. This paper presents another variant of digital architecture dedicated to fuzzy processor with numerical inputs and outputs.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Processing Implementation in Dedicated Digital Hardware

Szecowka¹,

Musiał²

2010

International Journal of Electronics and Telecommunications

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Fuzzy Processing Implementation in Dedicated Digital HardwareThe paper presents a concept of digital circuit dedicated for fuzzy processing with numerical inputs and outputs. Partially concurrent and pipelined data flow provides high performance, with relatively low dependence on particular algorithm complexity. Sample design with triangular fuzzy sets, rule strength calculation (minimumapproach) and defuzzyfication by weighted sum of fuzzy sets centers was implemented in VHDL, verified and synthesized for FPGA. Floating point arithmetic was applied, including dvision performed by dedicated synchronous machine. All modules were prepared for easy reuse/redesign.

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Hardware design of programmable fuzzy controller on FPGA

Cited by 9 publications

References 1 publication

Design of PSO-Based Optimal/Tunable PID Fuzzy Logic Controller Using FPGA

Design of PSO-Based Optimal/Tunable PID Fuzzy Logic Controller Using FPGA

Design and FPGA Implementation of Takagi- Sugeno Fuzzy Controller Based on LUTs

Fuzzy Processing Implementation in Dedicated Digital Hardware

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