parallel distributed compensator approach

Electro hydraulic control systems are important in their ability to handle large torque loads and quick response. Velocity, position and torque control are the most important controlling methods for the systems. The control systems suggested before including uncertainty parameters such as: internal friction, external noises, and non-linearity in the model behavior. Parallel distributed compensator method based on Takagi-Sugeno and fuzzy controller are used in this paper by feedback error learning's idea. In addition velocity control and identification of the model is carried out by applying regulation scheme. Results indicate that the controller presents better performance and response to the other controllers Also stability of controller is validated by linear matrix inequality method.

Electro hydraulic servo systems (EHSS) are widely used in all aspects of industry، due to their ability to handle large torque loads and quick response. According to the wide range of use، the desired control objectives for EHSS are: velocity، force/torque and position control. Existing approaches for control of electro hydraulic servo systems are in the presence of external noises، internal friction and non-linearity in the model behavior which is considered as uncertainty parameters. In this paper fuzzy intelligent controller by using parallel distributed compensator (PDC) method based on Takagi-Sugeno is used. The controller is designed for a high level performance (velocity control) which could reach the main control goals. The concluding results of this approach best fit the other researches data.