Genetic Optimization of Fuzzy Logic controllers

The VHDL-AMS based genetic optimization of fuzzy logic controller for movement control systems is discussed here. The designs have been carried out in the digital domain with HDL. The basic components of the fuzzy logic controller are designed using VHDL-AMS. The proposed work focuses on control of speed with respect to input parameter such as Alignment & distance with triangular membership functions. This is beneficial for autonomous systems which increases traffic safety and the capacity of a pre-existing road infrastructure. Here distance and tracking control method has been used, which enables a number of autonomous systems to work together.. A case study applying this novel method to an movement control system has been investigated to obtain a new type of fuzzy logic membership function with irregular shapes optimized using Genetic algorithm for best Performance. This paper presents the movement control of vehicle application, the fuzzy control approach and the design using high-level synthesis. KeywordVHDL-AMS, Fuzzy logic, Mixed-domain modeling