Design of the fuzzy methane concentration control system based on FPGA

Yao Yueqin, Zhao Guoliang

Анотація


A fuzzy control system for measuring methane concentration has been designed on the basis of FPGA. The fuzzy control algorithm and establishment of the fuzzy control rules are considered in detail, and implementation of the fuzzy control system is realized based on FPGA. Compared with traditional control methods, the system has a high control accuracy and unobvious hysteresis.


Ключові слова


FPGA; fuzzy control; measurement of methane concentration.

Повний текст:

PDF (English)

Посилання


Peraza C., Valdez F., Castillo O. An adaptive fuzzy control based on harmony search and its application to optimization [M]. Nature-Inspired Design of Hybrid Intelligent Systems. Springer International Publishing, 2017.

Zhou Q., Wang L., Wu C., et al. Adaptive fuzzy control for nonstrict-feedback systems with input saturation and output constraint [J]. IEEE Transactions on Systems Man & Cybernetics Systems, 2017, 47(1):1-12.

Stan S. D., Bălan R., Mătieş V., et al. Kinematics and fuzzy control of ISOGLIDE3 medical parallel robot [J]. Canadian Review of American Studies, 2016, 36(3):273-291.

Chen B., Lin C., Liu X., et al. Observer-based adaptive fuzzy control for a class of nonlinear delayed systems [J]. IEEE Transactions on Systems Man & Cybernetics Systems, 2016, 46(1):27-36.

Li H., Wu C., Yin S., et al. Observer-based fuzzy control for nonlinear networked systems under unmeasurable premise variables [J]. IEEE Transactions on Fuzzy Systems, 2016, 24(5):1233-1245.

Pan I., Das S. Fractional order fuzzy control of hybrid power system with renewable generation using chaotic PSO [J]. Isa Transactions, 2016, 62:19-29.

Zhou Q., Li H., Wu C., et al. Adaptive fuzzy control of nonlinear systems with unmodeled dynamics and input saturation using small-gain approach [J]. IEEE Transactions on Systems Man & Cybernetics Systems, 2016, PP(99):1-11.

Radgolchin M., Moeenfard H., Ghasemi A. H. A two-level adaptive fuzzy control algorithm for beyond pull-in stabilization of electrostatically actuated microplates [C]. ASME 2016 Dynamic Systems and Control Conference. 2016.

Petković D., Shamshirband S., Anuar N. B., et al. Input displacement neuro-fuzzy control and object recognition by compliant multi-fingered passively adaptive robotic gripper [J]. Journal of Intelligent & Robotic Systems, 2016, 82(2):177-187.

Wang F., Liu Z., Zhang Y., et al. Adaptive fuzzy control for a class of stochastic purefeedback nonlinear systems with unknown hysteresis [J]. IEEE Transactions on Fuzzy Systems, 2016, 24(1):140-152.

Padmanaban S., Blaabjerg F., Martirano L., et al. PI and fuzzy control strategies for high voltage output DC-DC boost power converter – Hardware implementation and analysis [C]. IEEE, International Conference on Environment and Electrical Engineering, 2016.

Chang W. J., Kuo C. P., Ku C. C. Fuzzy control via imperfect premise matching approach for discrete Takagi-Sugeno fuzzy systems with multiplicative noises [J]. Journal of Marine Science & Technology, 2016, 24(5):949-957.

Bouzeriba A., Boulkroune A., Bouden T. Projective synchronization of two different fractional-order chaotic systems via adaptive fuzzy control [J]. Neural Computing & Applications, 2016, 27(5):1349-1360.

Fu J., Li P., Wang Y., et al. Model-free fuzzy control of a magnetorheological elastomer vibration isolation system: analysis and experimental evaluation [J]. Smart Material Structures, 2016, 25(3):035030




DOI: https://doi.org/10.15589/SMI20170202