Abstract
This paper proposes an improved continuous-time model predictive control (CTMPC) of permanent magnetic synchronous motors (PMSMs) for a wide-speed range, including the constant torque region and the flux-weakening (FW) region. In the constant torque region, the mathematic models of PMSMs in dq-axes are decoupled without the limitation of DC-link voltage. However, in the FW region, the mathematic models of PMSMs in dq-axes are cross-coupled together with the limitation of DC-link voltage. A nonlinear PMSMs mathematic model in the FW region is presented based on the voltage angle. The solving of the nonlinear mathematic model of PMSMs in FW region will lead to heavy computation load for digital signal processing (DSP). To overcome such a problem, a linearization method of the voltage angle is also proposed to reduce the computation load. The selection of transiting points between the constant torque region and FW regions is researched to improve the performance of the driven system. Compared with the proportional integral (PI) controller, the proposed CTMPC has obvious advantages in dealing with systems’ nonlinear constraints and improving system performance by restraining overshoot current under step torque changing. Both simulation and experimental results confirm the effectiveness of the proposed method in achieving good steady-state performance and smooth switching between the constant torque and FW regions.
Highlights
Nowadays, permanent magnetic synchronous motors (PMSMs) have been widely applied in electric vehicle, train, electric aircraft, and so on, due to high efficiency and high torque/ampere ratio [1,2]
This paper proposed an improved continuous-time model predictive control (CTMPC) of PMSMs for a wide-speed range including the constant torque region and flux-weakening (FW) region
Two CTMPC models are proposed to describe the properties of PMSMs in the constant torque
Summary
Permanent magnetic synchronous motors (PMSMs) have been widely applied in electric vehicle, train, electric aircraft, and so on, due to high efficiency and high torque/ampere ratio [1,2]. A lot of intelligence control algorithms are proposed, such as sliding mode control [5,6], adaptive control [7,8], neural network control [9,10], and so on Their dependence on the motor parameters and heavy computation load limit their application on PMSMs. Recently, model-based predictive control (MPC) strategies have received attention in research communities due to their faster dynamic response, precise steady-state performance, easy implementation, and easy inclusion of nonlinearities and constraints [11,12,13]. This paper proposed an improved CTMPC of PMSMs for a wide-speed range including the constant torque region and flux-weakening (FW) region.
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