Variable Flux Control for Electric Motor Loss Reduction
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Solution Overview
Problem
Highly dynamic electric drives experience increased energy losses due to constant high current component i1d in field oriented control systems, leading to core and winding losses, while field weakening methods compromise torque capability.
Innovation Solution
A unit capable of learning analyzes operational data to optimize motor flux, predicting torque demand and adjusting flux accordingly to minimize losses without impacting dynamic performance, using machine learning methods like Decision Tree Learning and online regression algorithms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If field oriented control uses constant high current component i1d to maintain rapid torque response, then dynamic performance is improved, but energy losses (core and winding losses) increase
Solution Approach 1:
The patent applies dynamics by transitioning from constant flux to variable flux control. The motor flux is continuously adapted based on actual torque requirements, allowing the system to maintain high dynamic performance when needed while reducing energy losses during low-torque operation. This is achieved through continuous monitoring of torque demand and real-time adjustment of the current component i1d that generates rotor flux.
Solution Approach 2:
The patent changes the parameter of motor flux from constant to variable. By adjusting the flux level according to actual torque requirements, the system optimizes the trade-off between dynamic performance and energy efficiency. The control system modifies the current component i1d to achieve the minimum necessary flux for the current operating condition, thereby reducing core and winding losses while maintaining adequate torque response capability.
2Loss of energy
If motor flux is reduced to minimize energy losses, then energy efficiency is improved, but torque capability and dynamic performance deteriorate
Solution Approach 1:
The patent implements feedback control by continuously monitoring the actual torque requirements of the application and using this information to adjust the motor flux level. The control system compares the required torque with the available torque and adapts the flux accordingly, ensuring that sufficient torque capability is maintained while minimizing energy losses. This closed-loop approach allows the system to operate at optimal efficiency points without compromising performance.
Solution Approach 2:
The system dynamically adjusts flux levels based on real-time operating conditions. During high-torque demands, flux is increased to maintain torque capability, while during low-torque operation, flux is reduced to minimize energy losses. This dynamic adaptation resolves the contradiction by making torque capability and energy efficiency context-dependent rather than fixed.
3Speed
If rotor flux is kept constantly large to enable rapid torque changes, then dynamic response is improved, but losses in motor and inverter components increase
Solution Approach 1:
The patent applies preliminary action by maintaining a ready reservoir of magnetic flux in the motor. Instead of building up flux from zero during torque transients, the pre-established flux allows for faster torque response. This approach enables rapid torque changes without requiring constantly high flux levels, as the flux can be quickly adjusted in either direction from the pre-conditioned state, reducing overall energy losses while maintaining dynamic performance.
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
The solution reduces energy consumption by optimizing motor flux based on real-time torque demand predictions, improving energy efficiency and dynamic performance in electric drives.
Implementation Method 1
The basic idea of the field oriented control of a three-phase induction motor is that the stator current i1 can be separated into two components, i1d and i1q. Represented as space vectors, these two components are orthogonal to each other. The current component i1d is parallel with the space vector of rotor flux (Ψ2); i1q is perpendicular thereto. The magnitude of the rotor flux Ψ2 is determined by i1d. Torque m depends on the product of rotor flux Ψ2 and the current component i1q.
Implementation Method 2
Torque m depends on the product of rotor flux Ψ2 and the current component i1q. Torque m obeys this product without any delay
Data Source
AI summary
A method to control a motor which is electrically excited. The method includes providing a unit capable of learning which is configured to analyze processes in a machinery into which the motor is built so as to learn to optimally control a variable motor flux. The unit capable of learning thereby sets the variable motor flux so as to minimize motor losses absent an adverse impact on a dynamic property of a drive