FUZZY CONTROL FOR NONLINEAR CONTROL SYSTEM

The problem of solving nonlinearity is a current topic as it is involved in aerospace, vibration control, motor control, signal processing, robotic manipulators, etc. In control engineering, objects are often fuzzy and uncertain. These objects and processes are difficult to describe with the precise mathematical model. The Robotic Arm is a benchmark problem of nonlinear multivariable system with inherent instability. It is a highly nonlinear and open-loop unstable system. So, consider robotic arm as nonlinear control system and control it with fuzzy approach by designing fuzzy inference system. Also make it adaptive by connecting encoders to motor of robotic arm to give feedback and form closed loop system