Motor Control Feedback Unit for Trade-Off Adjustment
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional motor control systems face difficulties in achieving a desired trade-off adjustment and optimal balance between evaluation values due to the need for adjusting the limiter according to the motor control system and load.
Innovation Solution
A motor control system that includes an inverter applying AC voltage to a motor, a control unit generating a voltage command, and a feedback unit using regression formulas to estimate evaluation values from state quantities, calculate an evaluation function, and generate a correction command to adjust the voltage command accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-generated harmful factors
If a limiter is used to limit current component for compensating pulsation in torque control, then pulsation is reduced and input power increase is prevented, but it becomes necessary to adjust the limiter according to motor control system and load, making it difficult to achieve desired trade-off adjustment
Solution Approach 1:
The patent implements feedback by calculating an evaluation function based on multiple evaluation values (such as torque pulsation, input power, efficiency) and using the calculation result to automatically adjust the current command. This closed-loop feedback mechanism replaces manual limiter adjustment, enabling the system to automatically achieve optimal trade-off balance between conflicting evaluation values without requiring user knowledge of system characteristics.
Solution Approach 2:
The patent changes control parameters dynamically by adjusting the current command based on the evaluation function calculation results. Instead of using a fixed limiter value, the system modifies current command parameters in real-time according to the calculated evaluation, allowing adaptive optimization of the trade-off balance between pulsation reduction and power consumption across different operating conditions.
2Object-generated harmful factors
If conventional torque control with limiter is used, then pulsation compensation is achieved, but complex parameter adjustment is required to optimize trade-off balance between multiple evaluation values
Solution Approach 1:
The patent enables the control system to serve itself by automatically calculating evaluation values from state quantities, evaluating the trade-off balance through an evaluation function, and self-adjusting the current command without external intervention. This self-service capability eliminates the need for complex manual control design and parameter tuning, as the system autonomously optimizes its own performance.
Solution Approach 2:
The patent replaces manual mechanical adjustment of limiter parameters with an automated computational system. Instead of physically adjusting control parameters or relying on empirical trial-and-error methods, the system uses regression formulas and evaluation function calculations to automatically determine optimal control parameters, substituting computational intelligence for manual control design processes.
3Productivity
If manual adjustment of control parameters is performed to optimize trade-off balance, then some level of performance optimization is achieved, but it requires expert knowledge and complicates control design
Solution Approach 1:
The patent implements comprehensive feedback by continuously calculating multiple evaluation values from motor state quantities and using the evaluation function to automatically adjust control parameters. This feedback mechanism enables performance optimization without requiring expert knowledge, as the system automatically processes sensor data, evaluates trade-offs, and adjusts parameters in real-time based on actual system performance.
Data Source
AI summary
Disclosed are a motor control system and a motor control method that allow the balance of evaluation values in a trade-off relationship to be easily adjusted. The motor control system includes: an inverter (5) that applies AC voltage to a motor (1); a control unit (3, 4) that generates a voltage command for AC voltage in response to a control command; and a feedback unit (6, 7, 8) that applies a correction value to the control unit. The feedback unit estimates a plurality of evaluation values from a state quantity using a plurality of regression formulas, where at least one state quantity (x1, x2) of the motor is an input variable and a plurality of evaluation values (y1, y2) of the motor or a motor-driven object (2) are output variables, calculates an evaluation function with the estimated plurality of evaluation values as arguments, and generates a correction command on the basis of a calculation value resulting from the evaluation function.