Type-3 Fuzzy Control of Robotic Manipulators

In this paper, the control of robotic manipulators (RMs) is studied. The RMs are widely used in industry. multi-input-multi-output systems, and their dynamics highly nonlinear. To improve accuracy practice, it impossible to ignore influence nonlinear interaction inputs–outputs. Non-structural uncertainties such as friction, disturbance, unmodeled other challenges these systems. Recently, type-3 (T3) fuzzy logic systems (FLSs) have been suggested that result better a noisy environment. new idea on basis T3-FLSs suggested. estimate symmetrical perturbations. learned using online laws enhance stability. eliminate effect interconnection inputs estimation errors, compensator developed. By several simulations, superiority controller demonstrated.