In present work, a direct adaptive fuzzy control (DAFC) system, with Takagi-Sugeno structure, is proposed to control a switched reluctance motor by direct torque control technic. The objective of the DAFC is to change the rules definition in the direct fuzzy logic controller (FLC) and rule base table according to minimize the error between the reference flux output and the machine flux. This method is used to adjust the parameters of inference functions of fuzzy direct torque control. The boundedness of all signals is guarantee by the developed control law and adaptive law in the closed-loop system and the controller design is made according to the synthesis of Lyapunov.

A strategy for direct torque control by fuzzy logic (FDTC) of switched reluctance motors is presented. Two fuzzy controllers are used in a cascade configuration to control the motor speed in the outer loop and to implement the direct torque and flux control scheme using space vector in the inner loop. Simulation results are presented and the controller performance is compared with those obtained with conventional DTC.

The original paper by Mouzouris and Mendel (ibid., vol.5, p.56-71, 1997) explains nonsingleton fuzzifiers and their application. Neto and Le-Huy assert that there are errors in their expressions for triangular functions, and suggest correct expressions. The original authors reply that the apparent errors arise from their use of a different convention for expressing triangular membership functions.

This paper reviews the developments in microprocessors and digital ICs with a special attention to applications to motion control. First, the use of microprocessors and digital ICs in the control of electric motor drives is considered. General-purpose microprocessors and microcontrollers are then presented with emphasis on features that are necessary for the implementation of real-time control systems. High-performance advanced processors such as digital signal processors (DSPs), reduced-instruction-set computing (RISC) processors, and parallel processors are studied. Development and debugging tools required for developing sophisticated microprocessor-based control systems are considered. The capabilities of application-specific integrated circuits (ASICs) in motion control and their design process are examined. Typical application examples illustrating research work in digital motion control using microprocessors and digital ICs are presented. The potentials of new devices are considered for application to high-performance drive systems. Trends for future development of the microprocessor technology for motion control applications are projected.>