Hardware architecture and FPGA implementation of a type-2 fuzzy system
Proceedings of the 14th ACM Great Lakes symposium on VLSI
Design and Implementation of a Fast Digital Fuzzy Logic Controller Using FPGA Technology
Journal of Intelligent and Robotic Systems
Artificial Intelligence Applied into Pneumatic Flexible Manipulator
MICAI '08 Proceedings of the 2008 Seventh Mexican International Conference on Artificial Intelligence
Fuzzy logic based smart traffic light simulator design and hardware implementation
Applied Soft Computing
Hardware implementations of digital fuzzy logic controllers
Information Sciences: an International Journal
A dynamically-reconfigurable FPGA platform for evolving fuzzy systems
IWANN'05 Proceedings of the 8th international conference on Artificial Neural Networks: computational Intelligence and Bioinspired Systems
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The pneumatic actuators can be a useful way to control the position of a manipulator robot, instead of an electrical actuator. The major problem with pneumatic actuators is the compressibility of the air, due to the fact that the mathematical model is a system formed by a set of highly non-linear equations then a simple PID control is not enough to control the robot position, and fuzzy logic is a good option. This work is focused on the hardware implementation of Fuzzy logic algorithm into FPGA system. This paper also presents a methodology to implement a pneumatic control using fuzzy logic, into a FPGA device, which is the main contribution of this work. The air flow is controlled with a pulse width modulation, applied to the pneumatic electro- valve, with 25 ms of period.