Switch Reluctance Motor Memory Sensor Model for Nonlinear Inductance
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Solution Overview
Problem
Existing linear models of switch reluctance motors fail to accurately account for nonlinear factors like magnetic saturation, leading to errors in optimization, performance analysis, and control strategy evaluation due to their inability to model phase inductance's dependence on both rotor position and phase current magnitude.
Innovation Solution
A memory sensor model is created using a hardware circuit comprising two current conveyors, an operational amplifier, and a memory resistor, which simulates the nonlinear relationship between phase inductance, rotor position, and phase current, allowing for direct mathematical simulation with reduced computational requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a traditional nonlinear model is created for the switch reluctance motor, then the accuracy for optimization design and performance analysis is improved, but the computing power requirements for simulation and actual control increase significantly
Solution Approach 1:
The patent creates a hardware circuit model that copies the nonlinear characteristics of the switch reluctance motor's phase inductance. Instead of using complex computational models, the invention implements a physical circuit representation using operational amplifiers, current conveyors, and nonlinear elements that directly replicate the motor's inductance behavior, thereby achieving accurate modeling without high computing power requirements
Solution Approach 2:
The patent replaces the computational/mathematical system with a hardware circuit system. The nonlinear phase inductance characteristics are modeled using analog electronic components rather than numerical calculations, substituting the computational approach with a physical hardware implementation that provides real-time nonlinear modeling with minimal computational burden
2Measurement precision
If phase inductance nonlinear modelling is performed using traditional methods, then accurate representation of magnetic saturation is achieved, but the system instantaneity and real-time control capability deteriorate
Solution Approach 1:
The hardware circuit directly copies the nonlinear inductance characteristics through analog components, providing immediate real-time response without computational delays. The circuit model responds instantaneously to changes in rotor position and phase current, maintaining system speed while accurately representing nonlinear magnetic saturation effects
3Device complexity
If a linear model is used for the switch reluctance motor, then the device complexity is reduced, but the accuracy of performance analysis and control strategy evaluation deteriorates due to inability to account for magnetic saturation
Solution Approach 1:
The patent applies local quality by implementing nonlinear characteristics only where needed - specifically in the phase inductance modeling to account for magnetic saturation - while maintaining the overall simplicity of the motor model. The hardware circuit introduces nonlinear elements selectively to improve accuracy without requiring complete model complexity
Solution Approach 2:
The invention creates a simplified hardware circuit model that copies only the essential nonlinear phase inductance characteristics needed for accurate performance analysis, rather than implementing a complete complex motor model. This selective copying maintains simplicity while improving accuracy
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enables accurate real-time simulation and control of switch reluctance motor systems with lower operational costs and increased accuracy in performance analysis and control strategy evaluation, resolving the conflict between simulation cost and instantaneity.
Implementation Method 1
The memory sensor is controlled by a magnetic linkage, is provided with a magnetic linkage-current hysteresis loop and is able to simulate the nonlinear relation between the phase inductance of the switch reluctance motor and the positional angle of the rotor and the magnitude of the phase current thereof
Implementation Method 2
the equivalent inductance L of which is expressed as: L=f(i1)=f(U2/RM)=f(i2)×f(RM) wherein i1 is a current flowing into the memory sensor from an input port A thereof; U1 is a terminal voltage of input ports A-B of the memory sensor; U2 is a voltage drop on the memory resistor; i2 is a current in the memory resistor
Data Source
AI summary
A method for creating a switch reluctance motor memory sensor model. A switch reluctance motor memory sensor circuit model is formed by two current transmitters AD844, an operational amplifier AD826, a memristor, a capacitor, and three resistors. The method for creating a switch reluctance motor memory sensor model enables physical phenomena in a simulation system to be similar to an actual switch reluctance motor system, and is beneficial for direct mathematical simulation of a switch reluctance motor system. The method is simple, can improve static and dynamic performance of a system, and achieves real-time simulation and real-time control of the switch reluctance motor system.