To reduce pollution and energy consumption, particularly in the automotive industry, saving is main concern, hence, Electric vehicles (EVs) are getting significantly more attention than with internal combustion engines (IC engines). motors used Vehicles must have high efficiency for maximum utilization of from batteries or fuel cells. Also, these be compact, lightweight, less expensive very eas...

The objective of this study is to design a robust direct model reference adaptive controller (DMRAC) for a nonlinear cardiovascular model over a range of plant parameters representing a variety of physical conditions. The direct adaptive controllers used in thisd study require the plant to be almost strictly positive real (ASPR) that is, for a plant to be controlled there must exist a feedback ...

This paper presents Self-Tuning Fuzzy Logic Controller for sensorless vector controlled induction motor drives. When induction motor is continuously used long time, its electrical and mechanical parameters will change, which degrade the performance of PI controller considerably. This paper uses a Self-Tuning Fuzzy Logic Controller to improve the control performance.Here; the output gain of the ...

Speed and torque controls of permanent magnet synchronous motors are usually attained by the application of position and speed sensors. However, speed and position sensors require the additional mounting space, reduce the reliability in harsh environments and increase the cost of a motor. Therefore, many studies have been performed for the elimination of speed and position sensors. This paper i...

The permanent magnet synchronous motor is increasingly playing an important role in advanced motor drives. An encoder or resolver attached to the shaft of the motor typically supplies the feedbacks required for motor speed control. Many advanced motor drives cannot tolerate the use of these feedback devices because of reliability concerns in a harsh environment, price, space and weight limitati...

in this paper, the problem of decentralized model reference adaptive control (mrac) for a class of large scale systems with time varying delay in interconnected term and input and state delays is studied. to compensate the effect of input delay indirectly, a smith predictor built on. to handle the effects of the time delays in input, the adaptive controller part includes two auxiliary dynamic f...

Speed feedback is indispensable not only for closed-loop controlled induction motors (IM) but also the state monitoring systems of open-loop IMs. Replacing speed sensors with estimations has many advantages including, e.g., hardware complexity reduction, sensor cabling elimination, and reduction IM drive costs. From various methods estimation proposed in literature, model reference adaptive sys...

This paper presents the parameters of permanent magnet synchronous motor i.e. speed (r), stator resistance (RS), q-axis inductance (Lq), and torque (Ts) is to be estimated by using Model Reference adaptive System(MRAS). To improve the performance of speed sensor less permanent magnet synchronous motor drives, especially at low speeds by identifying stator resistance together with speed. Severa...

The objective of this study is to design a robust direct model reference adaptive controller (DMRAC) for a nonlinear cardiovascular model over a range of plant parameters representing a variety of physical conditions. The direct adaptive controllers used in thisd study require the plant to be almost strictly positive real (ASPR) that is, for a plant to be controlled there must exist a feedback ...

Observer based approaches are commonly embedded in sensorless variable speed drives for the purpose of speed control. It estimates system variables to produce errors or residual signals in conjunction with corresponding measurements. The residual signals then are relied to tune control parameters to maintain operational performance even if there are considerable disturbances such as noises and ...