Multiphase Electromagnetic Machine Control via Position-Based Current Optimization
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Solution Overview
Problem
Controlling multiphase electromagnetic machines with multiple phases becomes complex due to the need for coordinated current management across phases, leading to challenges in reducing system losses, increasing efficiency, and mitigating failures.
Innovation Solution
A control system determines desired electromagnetic forces between a translator and stator by using position information and objective functions, optimizing current values across phases while adhering to constraints to ensure efficient operation and adapt to changing conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If coordinated current management across multiple phases is implemented, then electromagnetic force control is improved, but system complexity increases
Solution Approach 1:
The control system segments the multiphase current management into independent phase controllers, each handling a specific phase. This allows coordinated control of multiple phases while reducing overall system complexity through modular design. Each phase controller independently manages its phase's current based on position feedback and force requirements.
Solution Approach 2:
The system dynamically adjusts current distribution across phases based on real-time position information and force requirements. The controller continuously optimizes which phases are active and their respective current levels, adapting to changing operating conditions. This dynamic approach simplifies control by activating only necessary phases rather than managing all phases continuously.
2Loss of energy
If optimization of current values across phases is performed, then system efficiency is improved, but computational complexity increases
Solution Approach 1:
The control system applies partial action by optimizing current values only for the subset of phases that are currently active or most effective at given positions. Rather than continuously optimizing all phases, the system focuses computational resources on relevant phases, reducing computational complexity while maintaining efficiency improvements.
Solution Approach 2:
The optimization algorithm uses position information and force requirements to automatically determine optimal current distribution without requiring external intervention or complex iterative calculations. The system self-adjusts current values based on pre-established relationships between position, force, and optimal phase excitation patterns.
3Measurement precision
If position-based force determination is implemented, then control precision is improved, but measurement requirements increase
Solution Approach 1:
The system introduces position information as an intermediary variable that mediates between physical position and force control. Rather than directly measuring force or current in each phase, the controller uses position feedback to determine optimal force generation strategies. This intermediary approach simplifies measurement requirements while maintaining control precision.
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 system effectively manages current distribution across phases, enhancing efficiency, reducing losses, and mitigating failures by optimizing current values based on position and objective functions, thereby improving the overall performance of multiphase electromagnetic machines.
Implementation Method 1
determining a set of current values applied to at least one of the phases based at least in part on the desired electromagnetic force
Implementation Method 2
determining a desired electromagnetic force between a translator and a stator of the multiphase electromagnetic machine
Data Source
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AI summary
A multiphase electromagnetic machine may be controlled by controlling currents in one or more phases of the multiphase electromagnetic machine. A control system may be used to determine how much current to deliver to, or extract from, each phase. The control system may use an objective function, subject to one or more constraints, to determine the current. The control system may use position information to determine the objective function, constraints, or both.