Decentralized Adaptive Type 2 Fuzzy Controller Design with Particle swarm optimization (PSO) algorithm for large- scale systems

In this paper, decentralized adaptive fuzzy control scheme with simplified Type 2 and (PSO) algorithm is proposed for Large-Scale nonlinear systems with dead-zone. Therefore, in addition to uncertainty and system connections, controllers are often required to accommodate dead-zone uncertainties. With Fuzzy approximations, unknown nonlinear functions of systems and uncertainty of large-scale nonlinear system are approximated. Despite the advantages of type-2 fuzzy systems in control applications, the main problems are to apply uncertainty which prevents widespread use of type 2 fuzzy in Concurrent applications and also its High computational cost.In order to reduce the problem of type-2 fuzzy logic systems, a simplified Type 2 fuzzy logic system is proposed based on combined structure of four type 1 fuzzy systems and a Particle swarm optimization(PSO) algorithm. (PSO) algorithm optimizes controller gains and acquires a more robust response than the simplified type-2 fuzzy.

Keywords:

Large scale systems , Decentralized control , Particle swarm optimization (PSO) algorithm , Type-2 fuzzy