TITLE A Genetic Algorithm based Fuzzy Logic Controller

Acknowledgements I would like to thank Jennifer Bruton for her help throughout the term of this project. I am indebted to her, for her thoughtful supervision and clear advice. My family, friends in EE4, and housemates have also made this an enjoyable task as a result of both their personal support and the comments that only friends can make. Declaration I hereby declare that, except where otherwise indicated, this document is entirely my own work and has not been submitted in whole or in part to any other university. Abstract This report investigates a promising method of control engineering, fuzzy logic modelling. It sets out to evaluate the usefulness of genetic algorithms in aiding the control process. At the start of the report the 'Inverted pendulum on a cart' system is introduced and its controllability is studied in detail. The theoretical background to both fuzzy logic and genetic algorithms is detailed in subsequent chapters and the applications to the test case are unpacked at each stage in the theoretical development. A synopsis of the results obtained throughout the report is given in the results section with the intention of guiding future advancement of this research. Though no final genetic algorithm based fuzzy logic controller was implemented, the strengths of genetic algorithms and fuzzy logic are explained with the express purpose of proposing how, when combined, a useful and workable method of control may result. The testing of each controller in the process of the design has been carefully documented throughout the report.