Abstract
Problem statement: Automated subway train-braking system require perfection, efficiency and fast response. In order to cope with this conce rns, an appropriate algorithm need to be developed which need to be implemented in hardware for faster response. Approach: In this research, the FPGA realization of fuzzy based subway train braking sys tem has been presented on an Alter FLEX10K device to provide an accurate and increased speed o f convergence of the network. The fuzzy based subway train braking system is comprised of fusilie r, inference, rule selector and defuzzifier modules . Sixteen rules are identified for the rule selector module. After determining the membership functions and its fuzzy variables, the Max-Min Composition method and Madman-Min implication operator are used for the inference module and the Centre of Gra vity method is used for the defuzzification module. Each module is modeled individually using behavioral VHDL. The layers are then connected using structural VHDL. Two 8-bit and one 8-bit unsigned digital signals are used for input and output respectively. Six ROMs are defined in order to decr ease the chances of processing and increasing the throughput of the system. Results: Functional simulations were commenced to verify the functionality of the individual modules and the system as well. W e have validated the hardware implementation of the proposed approach through comparison, verificat ion and analysis. The design has utilized 2372 units of LC with a system frequency of 139.8MHz. Conclusion: In this research, the FPGA realization of fuzzy brake system of subway train has been succ essfully implemented with minimum usage of logic cells. The validation study with C model show s that the hardware model is appropriate and the hardware approach shows faster and accurate response with full automatic control.
Highlights
Fuzzy techniques are becoming an attractive approach to handle uncertain, imprecise, or unmodeled data in solving control and intelligent decision-making problems (Zadeh, 1972; Al-Odienat, 2008)
A fuzzy based subway train braking system has the advantage that it allows the intuitive nature of accurate prediction of brake pressure to be modeled using the number of linguistic terms, the respective membership
A unified framework for Field-Programmable Gate Arrays (FPGA) realization of fuzzy based subway train braking system is designed by means of using a standard hardware description language VHDL
Summary
Functions for each linguistic variable, the inference mechanism, the rules, the fuzzification and. Due to the relative computational simplicity of fuzzy rule-based system, intelligent decision can be made in real-time, allowing an accurate prediction of brake pressure. Each block consists of programmable look-up table and storage registers, where interconnections among these blocks are programmed through the hardware description language (Reaz et al, 2004; 2005). A unified framework for FPGA realization of fuzzy based subway train braking system is designed by means of using a standard hardware description language VHDL. A block diagram illustrating the is activated The method provides a systematic approach for hardware realization, facilitating the rapid prototyping of the fuzzy based subway train braking system. It defines an interface to a component and describes the properties of the components’ ports
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