This paper presents a new approach for designing a Fuzzy Logic Controller "FLC"for a dynamically multivariable nonlinear coupling system. The conventional controller with constant gains for different operating points may not be sufficient to guarantee satisfactory performance for Robot manipulator. The Fuzzy Logic Controller utilizes the error and the change of error as fuzzy linguistic inputs to regulate the system performance. The proposed controller have been developed to simulate the dynamic behavior of A Two-Link Functional Manipulator. The new controller uses only the available information of the inputoutput for controlling the position and velocity of the robot axes of the motion of the end effectors KEYWORDS

Speed control DC motor (SCDCM) methods are widely used in power electronic circuits. This paper presents various SCDCM methods such as armature voltage control, the results show when armature voltage increases, the speed of the motor increases and when the armature voltage decreases, the motor speed decreases. However, in field resistance methods, when the field resistance increases the speed increases and when field resistance decreases the speed is reduced. While in feedback control when using feedback SCDCM method, two blocks have been used, the first block includes reference speed of motor and the second block includes the added value of speed to reference speed of motor. Power simulation (PSIM) is used to design and simulate the DC motor speed control circuits.