Design of embedded motion control system based on Modified Fuzzy Logic Controller for intelligent cruise controlled Vehicles

Cruise control is an efficient and effective automotive system being used in numerous vehicles around the world. In this work, an intelligent cruise control system is designed and simulated. This embedded motion control system is based on Fuzzy logic control for closed loop speed control of DC motor which can be a part of any hybrid vehicle drive system. This Modified Fuzzy Logic Controller (MFLC) has less computational cost as compared to conventional Fuzzy Logic Controller so that an ordinary 8-bit/16-bit low cost Microcontroller can be used as its hardware platform. Analysis is done on the efficiency of intelligent control system over conventional control technique. Simulation results shows that intelligent systems can better reduce fuel economy, design and maintenance cost and processing time of microprocessor, so that, this intelligent cruise control can be easily incorporated in any type of vehicle requiring efficient, fast and low cost speed control.