article · Mathematical Problems in Engineering
A model predictive speed control strategy has been developed for surface-mounted permanent magnet synchronous motors by using Laguerre functions. The controller integrates an integral action to support regulation, and a quadratic programming technique is used to solve the constrained optimisation problem online. In addition, a dedicated solution is incorporated to ensure system stability. The performance of the method was evaluated through extensive simulations against several conventional approaches, specifically an optimal linear quadratic regulator, traditional state-space model predictive control, and a basic model predictive control algorithm with integral action. The results demonstrate that the proposed design achieves reliable steady-state performance alongside a fast dynamic response during motor operation.
Permanent magnet synchronous motors are essential components in precision electrical drives and industrial equipment. Ensuring these motors respond rapidly while maintaining accurate steady-state speeds is challenging under physical and operational constraints. By improving predictive control calculations through Laguerre functions and online optimisation, this control strategy provides a stable way to achieve responsive and accurate motor speed regulation.
This control method could eventually benefit manufacturers and engineers designing advanced motor drives for applications using permanent magnet synchronous motors. However, because the abstract reports validation exclusively through extensive simulation results rather than physical experimental trials, the technology is currently at an early stage of development and requires hardware testing before any commercial use can occur.
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This paper proposes a model predictive speed control strategy for a surface-mounted permanent magnet synchronous motor by applying Laguerre functions. The model predictive controller (MPC) incorporates an integrator. A quadratic programming procedure is applied to solve the constrained optimization problem online. The paper also provides a solution for stability. The performance efficiency of the proposed scheme is validated by comparing the results with the performance of an optimal linear quadratic regulator, conventional state-space model predictive control, and a simple MPC algorithm with integral action. Extensive simulation results confirm the efficacy of the proposed scheme, showing that it achieves good steady-state performance while maintaining a fast dynamic response.
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DOI: 10.1155/2024/5562771
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