In this paper, a multi-kernel neural network sliding mode control (MNNSMC) method is proposed to enhance the position tracking performance and disturbance suppression capability of permanent magnet linear synchronous motors (PMLSMs). The designed MNNSMC strategy consists two parts, with dynamic boundary layer (MNN). former, utilized guarantee that variable converges manifold asymptotically. lat...

this paper proposes a discrete-time repetitive optimal control of electrically driven robotic manipulators using an uncertainty estimator. the proposed control method can be used for performing repetitive motion, which covers many industrial applications of robotic manipulators. this kind of control law is in the class of torque-based control in which the joint torques are generated by permanen...

input frequency is one of the important variables in design and performance analysis of single-sided linear induction motors (slims). changing the frequency changes both the dimension of the slim in design process and the performance of the designed motor. the frequency influences the induced eddy currents in the secondary sheet as well as saturation level of the secondary back-iron. in this pa...

multiple coupled circuit modeling of squirrel-cage induction motors, or winding function approach is the most detailed and complete analytical model used to analyze the performance of the faulty induction motors. this paper extends the above-mentioned model to a saturable model including variable degrees of the saturation effects using an appropriate air gap function and novel techniques for lo...

this paper presents developing an analytical model for flux switching motors. the motor is a class of variable reluctance motors that has two windings on stator; a field winding and an armature winding. due to saliency of both stator and rotor poles, accurate modeling is difficult which arises from the nonlinear behavior of the machine. this paper presents a simple model which is able to predic...