Approach to reduce power of fuzzy logic controller 

With the advancement of Electronics and IC technology, the use of controllers and processors increased drastically in the last two decades to solve complex problems efficiently with better accuracy and fast time being response. When the complexity of the problem is very high and proper mathematical model of the problem is unknown, general purpose processors or controller do not serve useful purpose. Fuzzy logic controller has the potential to solve problems which have uncertain nature and complex behavior with better, accurate and efficient results and also with faster time response as compare to classical logic based general purpose controllers or processors like PID controllers. The development of the fuzzy logic based controller follows step by step approach with expertise knowledge. As Fuzzy logic controllers are developed for the particular problem solving applications i.e., they are not general purpose controllers in nature.

However, in real time, it is possible to generalize fuzzy logic controller by switching its rule base. However, there is a lack of power reduction techniques for fuzzy logic controller when the application is concerned for embedded applications. As embedded devices are battery operated and have limited power supply, there is a need of a proper approach and method to reduce the power consumption. This paper focuses on rule base division technique to reduce the power consumption of the fuzzy logic controller based on different conditions and priorities. A new methodology is developed and implemented successfully to reduce the power consumption of the fuzzy logic controller i.e., dynamic rule base method. The implementation of the dynamic rule base method is carried out using Xilinx ISE Design 14.2 with Verilog-HDL as a coding language. The implementation of controller is successfully carried out on Kintex 7 KC705 FPGA kit