In this paper, a neural network model reference adaptive system speed observer is designed, which can be used inspeed control of Linear induction Motors (LIMs). Dynamical equations of LIM have been considered accurate. In otherwords, the end effect and the electrical losses of the Motor have been included in the Motor equivalent circuit. Thenequations of the reference model and adaptive model have been extracted. Existence of the speed-dependent functionsin the reference model causes error in speed estimation. In order to reduce error, the reference model equations areupdated unlike the standard MRAS method. The adaptive model equations have also been discrete and they have beenrewritten so as to be represented by a Linear neural network (ADALINE). On this basis, the so-called back propagationhas been used to compute online, in recursive form, the machine Linear speed. Finally, the estimated speed is used forMotor speed control. The simulations show the efficiency of the method.

In this paper, design and implementation of a Linear DC Motor (LDM) is described. The LDM under consideration is a flat type moving magnet. It has a simple structure and so it is easy to control. In this Motor, trust force is generated by interaction between magnetic field of permanent magnet and conductors carrying controlled current. To maximize the efficiency of the Motor, NdFeB (rare earth) permanent magnet is used. The optimum dimensions and geometrical parameters of the Motor, such as permanent magnet and coil size are obtained by mathematical calculations. Finite element analysis is also used for precise calculations and modeling of the Motor. The results show good agreement between experimental and theoretical (FEA) results.

Linear induction Motors (LIMs) are widely employed in rail transportation systems due to their robust, simple and low cost structure. Several methods have evaluated various topologies' performances in the literature. These methods are more and less effective in the intended structures. In this paper, a new two-dimensional analytical method is presented in order to predict developed thrust force of a single-sided Linear induction Motor with a solid iron secondary. The skin and saturation effects of the induced eddy currents in the solid iron of the secondary are considered in the proposed method. The analytical results are then compared with the 2D finite element simulation and the experimental ones of the research work of Gieras et al. . Results confirm the accuracy of the proposed analytical and finite element methods for the analysis and design of Linear induction Motors with solid iron secondary.

This work presents finite element analysis, design, and construction of an improved Linear switched reluctance Motor for elevator application. In the proposed Motor, both stator and translator have separate poles; thus, the Motor is lighter and more appropriate for vertical motion applications. In addition, the proposed structure has low core losses due to the separate and short magnetic paths. The only set of windings is placed on stator poles while the translator has no winding or permanent magnet. In order to broaden the positive force region, non-uniform air-gap is designed and optimized via non-dominated sorting genetic algorithm. Finite element analysis and experimental tests of the Motor are performed and characteristics of the proposed structure are compared with a previous structure in the elevator application. Finite element analysis have been done in ANSYS software.The results confirm that the proposed Linear Motor has higher average force with an acceptable ripple in force.

Linear induction Motors have single and double-sided structures which are used in special applications, according to their advantages and disadvantages. Due to advantages such as lack of normal forces in double-sided type, these Motors are more controllable and popular than the single-sided type, especially for transportation applications.  In literature, single-sided Linear induction Motors have gained more attentions; so, there are few work on double-sided type. In this paper, first, equations are proposed for calculation of the equivalent circuit parameters of these Motors, considering end-effect. Then, a method is proposed to design the Motor, employing the presented equivalent circuit. Using the proposed method, a double-sided Linear induction Motor is designed. Then, to minimize the primary weight and maximize the efficiency and the power factor, the designed Motor is optimized by using Particle Swarm Optimization algorithm. One of the important factors in design that affects the construction cost is the weight of the machine. The optimization results show that the initial weight of the Motor decreases from 44 kg in the non-optimal case to 18.31 kg in the optimal case. For validation, the optimization results are compared with finite element analysis results and a laboratory prototype test results. The comparison of the experimental and the finite element results with optimization results confirms the validity of the proposed method.