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Purpose The purpose of this paper is to obtain an accurate methodology for modelling and analysis of the permanent magnet synchronous generator connected to power electronic components. Design/methodology/approach This paper presents the methodology of the co-simulation of a permanent magnet synchronous generator. It combines Simulink, Maxwell and Simplorer software to demonstrate the electrical machine behaviour connected with the power electronics’ circuit. The finite element analysis performed on the designed machine exhibit a more accurate behaviour over simplified Simulink models. Results between both simulation and co-simulation are compared to measurements. Findings The co-simulation approach offers a more accurate depiction of the machine behaviour and its interaction with the non-linear circuits. Research limitations/implications This paper focuses on the interior permanent magnet type of PMSG and its interaction with a passive rectifier (nonlinear circuit). Practical implications The advanced capabilities of the co-simulation method allow to analyse more variations (geometry, materials, etc.), and its interaction with non-linear circuits, than previous simulation techniques. Originality/value The co-simulation as a tool for analysis and design of systems interconnected with unconventional and conventional electrical machines and prototypes, and the comparison of the obtained results with classical analysis and design methods, against measurements obtained from the prototype.

The design and analysis of a permanent magnet synchronous generator (PMSG) are presented. The interior permanent magnet (IPM) rotor was designed asymmetric and with the consequent pole approach. The basis for the design was a series-produced three-phase induction motor (IM) and neodymium iron boron (Nd-Fe-B) cuboid magnets were used for the design. For the partial demagnetization analysis, some of the magnets were extracted and the results are compared with the finite element analysis (FEA).

It is well-known that mechanical sensors suffer failure in hostile environments. Therefore, in such applications, vision control is a suitable solution. In this paper, we propose a new approach for design and implementation of the control system for the speed of the coupler point in a four-bar linkage. To measure the coupler point position a computational vision system is implemented; the vision system sends the controller the precise position of the desired point for a wide range of crank rotational speeds. A proportional integral derivative control system is designed and implemented in a microprocessor. Stability analysis for the controlled system is performed via the Lyapunov stability theory. Performance of the system is validated experimentally in a prototype of a planar mechanism obtaining an average square error of measurement less than 0.03% and regulation of operating point less than 1% for different speed references.