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- Speed Control Scheme Analysis of Switched Reluctance ActuatorPublication . Pestana, Luís; Calado, M. Do Rosário; Mariano, S.This paper presents the implementation of a nonlinear model of a Linear Switched Reluctance Actuator (LRSA) in Simulink/ SimPowerSystems environment. The model is based in an already implemented motor model for the rotating machine, which was improved and adopted to be applied in the analysis of a linear actuator. Both the magnetic information from experimental data and results obtained from Finite Element Analysis (FEA) were used to perform that analysis. The model is used in the assessment of several control schemes.
- Instantaneous Force Control of a Linear Switched Reluctance ActuatorPublication . Pestana, Luís; Calado, M. do Rosário; Mariano, S.This paper is focused on the modeling and analysis of the instantaneous force control of a Linear Switched Reluctance Actuator (LSRA). The conventional control method to reduce thrust ripple uses force distribution functions (FDF) taking into consideration the overall thrust reference and the machine parameters to convey a phase current reference (force is indirectly controlled). In this work two strategies are followed and compared, namely the direct instantaneous thrust control with pulse width duty-ratio adjustment (DITC-PWM) and cosine FDF. The analysis is made in Matlab/ Simulink software package and by using a machine model grounded in lookup tables characteristic data.
- Position Control of Linear Switched Reluctance Machine using Flower Pollination AlgorithmPublication . Nunes, H.G.G.; Pestana, Luís; Mariano, S.; Calado, M. Do RosárioThis paper presents a control mechanism for position control of linear switched reluctance machine (LSRM) using flower pollination algorithm (FPA). The control mechanism consists of the proportional-integral-derivative (PID) position controller. Therefore, the problem of determining the optimal values for the gains (proportional, integral and derivative) of the position controller is defined as an optimization problem that aims to obtain the optimal gains by minimizing the integral of time multiplied by absolute error (ITAE) of the position. In order to evaluate the performance of the FPA different operating scenarios were considered and the salp swarm algorithm (SSA) and multi-verse optimizer (MVO) were also implemented for results comparison. The results reveal that position control based on the optimal gains obtained by the FPA provides the smallest error, improving the dynamic performance of the LSRM