الفهرس 
IntroductionOnly 14 pages are availabe for public view
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Abstract
The dynamic systems usually have the characteristics of inherently
nonlinearities . and uncertain parameters with different isturbances. The Proportional Integral Derivative (PlO) and Fractional order PID (FOPID)
controllers does not provide good performance, and will be incapable to capture all design objectives and specifications for a linguistic uncertainties and nonlinearity effects under system disturbances. Thus, most researches for PID or FOPID ontrollers focus on the Type-l Fuzzy Self-Tuning (T 1 FST). It has been noted that the T 1 FST might not be able to handle the levels of uncertainties. The Iterative Type-2 Fuzzy Sets (IT2-FSs) might be able to handle such uncertainties and produce a better control performance. To get around the pervious problem four controllers are proposed based on the IT2FSs. These controllers are IT2FST for OPID, IT2FST for TSMFOPID, IT2FPID, and RRO for IT2FPID. The Servo Permanent Magnet Synchronous Motor (SPMSM) system represents a real practical application to implement the four proposed controllers. These controllers are designed to control the motor speed, to handle the nonlinearities in the motor system modeling and to overcome the uncertainties in the motor parameters under different types of disturbances. The effectiveness of such controllers has been validated by demonstrating the motor performance under different types of disturbances and parameter uncertainties in the form of a family of performance curves.
Laboratory SPMSM system setup is utilized to carry out the experimental part of this work for the comparison between the proposed controllers under
different types of disturbances and parameter uncertainties. Real time control is carried out using MA TLAB/Simulink software through suitable interfacing and converters. Several experimental and simulation tests are performed and displayed the validity of the proposed control approaches