Abstract
Linear motors have many advantages in comparison with rotary motors due to directly creating linear motion without gears or belts. The difficulties of designing the controller are that we need not only the tracking of position and velocity but guarantee that the voltage control and its variation are small enough as well. Model predictive control (MPC) is an advanced method of control that needs the corresponding predictive model. In this work, we propose the model predictive control based on Laguerre function with the constraints of voltage control and its variation. The numerical simulation generated by MATLAB–Simulink validates the performance of the proposed controller.
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Ty, N.T., Hung, N.M., Nam, D.P., Quang, N.H. (2018). A Laguerre Model-Based Model Predictive Control Law for Permanent Magnet Linear Synchronous Motor. In: Bhateja, V., Nguyen, B., Nguyen, N., Satapathy, S., Le, DN. (eds) Information Systems Design and Intelligent Applications. Advances in Intelligent Systems and Computing, vol 672. Springer, Singapore. https://doi.org/10.1007/978-981-10-7512-4_31
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DOI: https://doi.org/10.1007/978-981-10-7512-4_31
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