Motion control of ac crank servo press: Fuzzy logic approach

Servo presses have provided an alternative to conventional and hydraulic presses in recent years. They offer flexibility, accuracy and reliability in industrial applications. Servo motor can perform free motion concepts for presses with operational advantages. Fuzzy logic control techniques have been applied to a wide range of engineering systems. The structure of fuzzy logic consists of three functional blocks; fuzzification, interface, and defuzzification. In fuzzy controllers, the control rules are not described analytically. They are expressed in linguistic rules describing the relation between the inputs and the outputs providing flexibility. A cascade fuzzy-PID controller is proposed for an AC servo crank press in this thesis. The system; servo crank press, cascade fuzzy-PID controller and AC servo motor dynamics are modeled by using MATLAB Toolboxes (Simulink and Fuzzy Logic). Theoretical and experimental studies are performed on servo press control. Deep drawing implementations are performed as case studies. Simulation and experimental results are supported validity of the cascade fuzzy-PID controller proposed.