JAJU802 設計ガイド

JAJU802A January 2022 – October 2022

2.4.2.2.1.1 Mathematical Model and FOC Structure of an IPMSM

The sensorless FOC structure for an IPMSM is illustrated in Figure 2-16. In this system, the eSMO is used for achieving the sensorless control an IPMSM system, and the eSMO model is designed by utilizing the back EMF model together with a PLL model for estimating the rotor position and speed.

Figure 2-16 Sensorless FOC Structure of an IPMSM System

An IPMSM consists of a three-phase stator winding (a, b, c axes), and permanent magnets (PM) rotor for excitation. The motor is controlled by a standard three-phase inverter. An IPMSM can be modeled by using phase a-b-c quantities. Through proper coordinate transformations, the dynamic PMSM models in the d-q rotor reference frame and the α-β stationary reference frame can be obtained. The relationship among these reference frames are illustrated in Equation 46. The dynamic model of a generic PMSM can be written in the d-q rotor reference frame as:

Equation 46.

[\begin{matrix} v_{d} \\ v_{q} \end{matrix}] = [\begin{matrix} R_{s} + {p L}_{d} & {- ω}_{e} L_{q} \\ ω_{e} L_{d} & R_{s} + {p L}_{q} \end{matrix}] [\begin{matrix} i_{d} \\ i_{q} \end{matrix}] + [\begin{matrix} 0 \\ ω_{e} λ_{p m} \end{matrix}]

Where $v_{d}$ and $v_{q}$ are the q-axis and d-axis stator terminal voltages, respectively; $i_{d}$ and $i_{q}$ are the d-axis and q-axis stator currents, respectively; $L_{d}$ and $L_{q}$ are the q-axis and d-axis inductances, respectively, p is the derivative operator, a short notation of $\frac{d}{d t}$ ; $λ_{p m}$ is the flux linkage generated by the permanent magnets, $R_{s}$ is the resistance of the stator windings; and $ω_{e}$ is the electrical angular velocity of the rotor.

Figure 2-17 Definitions of Coordinate Reference Frames for PMSM Modeling

By using the inverse Park transformation as shown in Figure 2-17, the dynamics of the PMSM can be modeled in the α-β stationary reference frame as:

Equation 47.

[\begin{matrix} v_{α} \\ v_{β} \end{matrix}] = [\begin{matrix} R_{s} + {p L}_{d} & ω_{e} (L_{d} - L_{q}) \\ {- ω}_{e} (L_{d} - L_{q}) & R_{s} + {p L}_{q} \end{matrix}] [\begin{matrix} i_{α} \\ i_{β} \end{matrix}] + [\begin{matrix} e_{α} \\ e_{β} \end{matrix}]

Where the $e_{α}$ and $e_{β}$ are components of extended electromotive force (EEMF) in the α-β axis and can be defined as:

Equation 48.

[\begin{matrix} e_{α} \\ e_{β} \end{matrix}] = (λ_{p m} + (L_{d} - L_{q}) i_{d}) ω_{e} [\begin{matrix} - s i n (θ_{e}) \\ c o s (θ_{e}) \end{matrix}]

According to Equation 47 and Equation 48, the rotor position information can be decoupled from the inductance matrix by means of the equivalent transformation and the introduction of the EEMF concept, so that the EEMF is the only term that contains the rotor pole position information. And then the EEMF phase information can be directly used to realize the rotor position observation. Rewrite the IPMSM voltage equation Equation 47 as a state equation using the stator current as a state variable:

Equation 49.

[\begin{matrix} {\dot{i}}_{α} \\ {\dot{i}}_{β} \end{matrix}] = \frac{1}{L_{d}} [\begin{matrix} {- R}_{s} & {- ω}_{e} (L_{d} - L_{q}) \\ ω_{e} (L_{d} - L_{q}) & {- R}_{s} \end{matrix}] [\begin{matrix} i_{α} \\ i_{β} \end{matrix}] + \frac{1}{L_{d}} [\begin{matrix} {V_{α} - e}_{α} \\ {V_{β} - e}_{β} \end{matrix}]

Since the stator current is the only physical quantity that can be directly measured, the sliding surface is selected on the stator current path:

Equation 50.

S (x) = [\begin{matrix} {\hat{i}}_{α} - i_{α} \\ {\hat{i}}_{β} - i_{β} \end{matrix}] = [\begin{matrix} {\tilde{i}}_{α} \\ {\tilde{i}}_{β} \end{matrix}]

where

{\hat{i}}_{α}

and

{\hat{i}}_{β}

are the estimated currents, the superscript ^ indicates the estimated value, the superscript “˜” indicates the variable error which refers to the difference between the observed value and the actual measurement value.