PMSM Sensorless Control With Adaptive Luenberger Observer Tuning
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Solution Overview
Problem
The challenge in sensorless control of PMSM is the difficulty in selecting appropriate feedback coefficients for the Luenberger observer, which affects rotor position estimation accuracy and convergence rate, especially under varying rotational speeds, leading to reduced observer performance.
Innovation Solution
A method for automatically adjusting feedback coefficients using a proposed parameter selection method for the Luenberger observer, ensuring stability and quick adaptation to speed fluctuations by constraining the feedback coefficients within specific ranges.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If feedback coefficients are selected using trial-and-error method, then the Luenberger observer can be constructed, but the process is costly and time consuming
Solution Approach 1:
The patent transforms the feedback coefficient selection from a trial-and-error process to a systematic parameter optimization process. By formulating the coefficient selection as a mathematical optimization problem with objective functions and constraints, the method enables automatic determination of optimal coefficients based on system parameters, eliminating manual iteration and significantly reducing time and cost.
2Device complexity
If fixed feedback coefficients are used, then the Luenberger observer structure is simple, but the pole position changes significantly when rotational speed changes, reducing observer performance
Solution Approach 1:
The patent introduces dynamic adaptation mechanisms that allow the Luenberger observer to automatically adjust to varying rotational speeds. Through real-time optimization of feedback coefficients based on current operating conditions, the system maintains optimal pole positions across different speed ranges, enhancing adaptability without requiring complex manual reconfiguration.
Solution Approach 2:
The patent implements feedback mechanisms where the observer continuously monitors system performance and adjusts feedback coefficients accordingly. This closed-loop approach ensures that the pole positions remain optimal even when rotational speed changes, maintaining high estimation accuracy across the entire operating range without increasing structural complexity.
3Measurement precision
If appropriate feedback coefficients are selected, then rotor position estimation accuracy is high, but it is difficult to obtain coefficients due to nonlinear characteristics of PMSM system
Solution Approach 1:
The patent introduces mathematical optimization models and objective functions as intermediaries between the nonlinear PMSM system and the feedback coefficient selection process. These intermediary tools transform the complex nonlinear optimization problem into a structured mathematical framework that can be systematically solved, making it feasible to obtain accurate coefficients without direct trial-and-error experimentation.
Data Source
AI summary
A sensorless control method and a system for PMSM based on Luenberger observer. The system includes a power supply circuit, a sampling circuit, a main control circuit and a drive circuit. The power supply circuit supplies power to other circuits. The sampling circuit is used to obtain the three-phase current of the motor. The main control circuit outputs the control signal to the drive circuit to run the PMSM. The present invention uses an improved method for selecting the feedback coefficient of Luenberger observer, which makes the selection of Luenberger observer feedback coefficient more convenient and effective. Moreover, it can select optimal parameters globally based on this method, leading to adaptive adjustment of feedback coefficients for better observer performance when the rotational speed influences the position of the pole of the observer.