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Modelling And Optimization of Nonlinear Proportional Integral Controller

The NPIC (Nonlinear proportional integral Controller) has been studied in this research, and a genetic method has been used to find the smallest possible error. Integral absolute error was used to develop the objective function (IAE)A nonlinear component is included in this controller, making it one of a kind in its mix of proportional and integral control. For non-linear robotic manipulators, this means that the controller may be far more effective than a linear controller, which has historically been difficult to operate. Consequently, this controller offers a nonlinear controller for manipulators. Programming controller parameters to achieve high trajectory tracking has always been a difficult and time-consuming task for engineers, thus developing a system that can handle non-linearity and complexity has become more difficult in the next year. An intelligent controller is needed to meet today's demands It is the goal of this review article to provide an in-depth analysis of different controllers and control approaches as well as optimization strategies.