This paper describes the use of a genetic algorithm (GA) in tuning a double-level modular fuzzy logic controller (DLMFLC), which can expand its control working zone to a larger spectrum than a single-level FLC. The first-level FLCs are tuned by a GA so that the input parameters of their membership functions and fuzzy rules are optimized according to their individual working zones. The second-level FLC is then used to adjust contributions of the first-level FLCs to the final output signal of the whole controller, i.e., DLMFLC, so that it can function in a wider spectrum covering all individual working zones of the first-level FLCs. The second-level FLC is again optimized by a GA. An inverted pendulum system (IPS) is used to demonstrate the feasibility of the approach.
|Title of host publication||Genetic and Evolutionary Computation Conference 2007|
|Number of pages||8|
|Publication status||Published - 2007|
|Event||2007 Genetic and Evolutionary Computation Conference - London, United Kingdom|
Duration: 7 Jul 2007 → 11 Jul 2007
|Conference||2007 Genetic and Evolutionary Computation Conference|
|Period||07/07/2007 → 11/07/2007|