Abstract
An online parameter estimation methodology using the d-axis current injection, which can estimate the distorted voltage of the current-controlled voltage source inverter (CCVSI), the varying dq-axis inductances, and the rotor flux, is proposed in this study for interior permanent magnet synchronous motor (IPMSM) drives in the constant torque region. First, a d-axis current injection-based parameter estimation methodology considering the nonlinearity of a CCVSI is proposed. Then, during current injection, a simple linear model is developed to model the cross- and self-saturation of the dq-axis inductances. Since the d-axis unsaturated inductance is difficult to obtain by merely using the recursive least square (RLS) method, a novel tuning method for the d-axis unsaturated inductance is proposed by using the theory of the maximum torque per ampere (MTPA) with the combination of the RLS method. Moreover, to improve the bandwidth of the current loop, an intelligent proportional-integral-derivative (PID) neural network controller with improved online learning algorithm is adopted to replace the traditional PI controller. The estimated the dq-axis inductances and the rotor flux are adopted in the decoupled control of the current loops. Finally, the experimental results at various operating conditions of the IPMSM in the constant torque region are given.
Highlights
There are many attractive benefits of the interior permanent magnet synchronous motors (IPMSMs), including the high-power density, high acceleration capability and broad speed operating range
Several online parameter estimation techniques have been developed to overcome the difficulties of the offline methods, and can obtain the machine parameters without using the lookup tables [4,5,6,7,8,9], and which can be further divided into the non-intrusive methods without signal injection [4,5,6] and the intrusive methods with signal injection [7,8,9]
An online parameter estimation methodology using d-axis current injection, which uses the smoothing values of dq-axis voltages, currents, and electrical rotor speed, was successfully developed and implemented in this study for the estimation of current-controlled voltage source inverter (CCVSI) distorted voltage and IPMSM parameters in the constant torque region
Summary
There are many attractive benefits of the interior permanent magnet synchronous motors (IPMSMs), including the high-power density, high acceleration capability and broad speed operating range. The proposed parameter estimation method can estimate the distorted voltage of the CCVSI, the varying dq-axis inductances and the rotor flux real time. Several approaches have been developed to enhance the bandwidth of current loop or current control ability of the permanent magnet synchronous motor (PMSM) drives [16,17,18,19,20] These methods can improve the control performance, transient response, and robustness against machine parameter variations. The estimated dq-axis inductances and magnetic flux of the rotor are adopted in the decoupled control of the current loops to assure the effectiveness of the FOC.
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