Motor Control Simulation Using Impulse Response Convolution
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Solution Overview
Problem
Current methods for determining motor control parameters either require frequent and time-consuming actual motor operation and measurement, risking damage from improper settings, or rely on physical models with reduced simulation accuracy due to model discrepancies with actual objects.
Innovation Solution
The technique involves using impulse response information to simulate the time response of a control system, allowing for highly accurate simulations that match actual control object characteristics, thereby improving simulation accuracy without the need for frequent physical testing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If actual motor operation and measurement is performed to determine control parameters, then parameter accuracy is improved, but time consumption and risk of damage increase
Solution Approach 1:
The patent creates a virtual copy of the motor control system through detailed physical modeling. The simulation model replicates the electrical and mechanical characteristics of the actual motor, driver, and load, allowing parameter determination in virtual environment without time-consuming and risky actual operation.
Solution Approach 2:
The patent performs preliminary parameter optimization through simulation before actual implementation. By pre-determining control parameters in the virtual model and validating them through simulation tests, the system avoids time-consuming trial-and-error adjustments on actual equipment.
2Loss of time
If physical models are used for simulation, then time consumption is reduced, but simulation accuracy deteriorates due to model discrepancies
Solution Approach 1:
The patent systematically adjusts and optimizes simulation model parameters to match actual system characteristics. By carefully selecting and tuning parameters such as motor resistance, inductance, inertia, and friction coefficients, the simulation accuracy is significantly improved while maintaining the efficiency benefits of virtual modeling.
Solution Approach 2:
The patent incorporates feedback mechanisms where simulation results are compared with actual system behavior, and model parameters are refined based on this comparison. This iterative refinement process continuously improves simulation accuracy without requiring frequent actual operation.
3Measurement precision
If detailed physical models are created to improve simulation accuracy, then simulation accuracy is improved, but device complexity and adjustment burden increase
Solution Approach 1:
The patent divides the motor control system into distinct modular components: electrical model, mechanical model, and control model. Each module can be independently configured and adjusted, reducing overall complexity while maintaining comprehensive simulation accuracy.
Solution Approach 2:
The patent creates a universal simulation framework that can model different motor types, drive configurations, and load characteristics using the same basic structure. This multi-functional approach reduces complexity by avoiding the need to create entirely separate models for different applications.
Data Source
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AI summary
A simulation device includes: a simulation system including a predetermined feedback system having, as a forward element, at least a predetermined control block structure corresponding to a predetermined device-side configuration including a control object; a holding unit holding impulse response information for calculation that is information on an impulse response relating to the predetermined device-side configuration; a first response calculation unit calculating a time response of the predetermined device-side configuration to a predetermined input value by convolution processing using the impulse response information for calculation and the predetermined input value; and a second response calculation unit calculating a response of the simulation system to a command value input to the simulation system by using the time response of the predetermined device-side configuration calculated by the first response calculation unit. According to this configuration, simulation accuracy of a control system is improved, the control system having: a control object including a motor; and a motor control device controlling the motor.