Аннотация:We present the control system synthesis for the multilink redundant manipulator. Our control system is based on the unique algorithm that includes the novel hybrid method for solving the inverse kinematics problem. This method combines ANFIS-network and iterative refinement. As a result, the control system has high integrative capabilities and is easy to modify for another construction. The manipulator design is described by mathematical equations which are used for the workspace construction. These equations are used for creation of the neurofuzzy network and generation database (network training information). Modeling of the industrial manipulator with 5 degrees of freedom as an example of the implementation of our control system is considered in the paper. Virtual environment that displays a model motion in real time using a virtual 3-D model is also presented in the paper. We present the work results applied to the manipulator physical model. This model includes Festo servomotors and the Siemens programmable logical controller.