PARALLEL-DISTRIBUTED COMPENSATION FUZZY CONTROLLER FOR NONLINEAR CONTROL OF A SERIES DC MOTOR

A.M. Harb and I.A. Smadi

Keywords

Fuzzy control, electrical DC series motors, nonlinear controller

Abstract

Based on parallel-distributed compensation (PDC) technique to stabilize the nonlinear systems, this paper presents the design of fuzzy logic controllers (FLCs) for series DC motor. A nonlinear mathematical model of a series-connected DC motor is proposed. Finally, the proposed designed controller is demonstrated through numerical simulation and compared with feedback linearization and conventional linearization technique. DC motor, a practical example is used to illustrate the approach and the results are compared to those obtained using feedback linearization and conventional linearization technique. 2. Fuzzy System Modelling Fuzzy model-based approach have been developed primarily from the work of Takagi and Sugeno [9]. The main characteristic of a T-S Fuzzy model is to express the local dynamics of each fuzzy rule by linear system model. The overall fuzzy model of the nonlinear system is obtained by fuzzy aggregation (blending) of all local linear system models. Consider the following single input nth-order nonlinear system: x = f (x) + b(x)u (1)

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