Linear Motor Quality Function Control Across Movement Phases
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Solution Overview
Problem
Current linear motor control systems are inflexible and inefficient, as they rely on fixed controller parameters and quality functionals that do not adapt to changing conditions, leading to suboptimal movement control and energy usage.
Innovation Solution
The implementation of a method that uses a quality functional with adaptable quality terms to optimize the control of a linear motor, allowing for online and offline optimization of movement phases, which includes evaluating deviations in target and actual variables to determine optimal manipulated variables for the drive coils, thereby improving control precision and energy efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If fixed controller parameters and quality functionals are used, then the control system is simple to implement, but the control precision and energy efficiency deteriorate due to inability to adapt to changing conditions
Solution Approach 1:
The patent implements dynamic optimization of the quality functional during different movement phases (acceleration, constant speed, deceleration). The controller adapts the quality functional parameters online based on the current movement phase and system state, transforming a static control system into a dynamic one that continuously optimizes control precision without requiring complete redesign of the control architecture
Solution Approach 2:
The patent changes the parameters of the quality functional based on movement phases and system conditions. By adjusting the weighting factors and optimization criteria in the quality functional according to whether the system is accelerating, moving at constant speed, or decelerating, the controller achieves adaptive precision control while maintaining a relatively simple base structure
2Use of energy by moving object
If fixed quality functionals are used, then the control algorithm is simple, but the energy efficiency deteriorates due to suboptimal manipulation in varying conditions
Solution Approach 1:
The patent implements dynamic optimization of the quality functional during different movement phases (acceleration, constant speed, deceleration). The controller adapts the quality functional parameters online based on the current movement phase and system state, transforming a static control system into a dynamic one that continuously optimizes control precision without requiring complete redesign of the control architecture
Solution Approach 2:
The patent changes the parameters of the quality functional based on movement phases and system conditions. By adjusting the weighting factors and optimization criteria in the quality functional according to whether the system is accelerating, moving at constant speed, or decelerating, the controller achieves adaptive precision control while maintaining a relatively simple base structure
3Manufacturing precision
If optimal manipulated variables are determined through optimization, then the movement control precision is improved, but the computational load and thermal loads on power electronics increase
Solution Approach 1:
The patent applies partial optimization by focusing computational efforts on the most critical control parameters and movement phases. Rather than continuously optimizing all parameters at full computational intensity, the system performs optimization selectively during different phases (acceleration, constant speed, deceleration), reducing peak computational and thermal loads while maintaining sufficient control precision
Solution Approach 2:
The patent implements periodic optimization cycles corresponding to movement phases. The quality functional is optimized at specific intervals and phase transitions rather than continuously, allowing thermal loads on power electronics to dissipate between optimization cycles while still achieving high control precision when optimization is performed
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 enhances the flexibility and energy efficiency of linear motor control by dynamically adjusting to different movement phases and conditions, reducing thermal loads on power electronics and minimizing electrical power loss.
Implementation Method 1
by energizing active drive coils in the region of the drive magnets of the transport unit, an electromagnetic field is generated which interacts with the drive magnets of the transport unit to move the transport unit
Data Source
Figure 1
Figure 2
Figure 3~4
AI summary
In order to control the movement of a transport unit of a linear motor, a quality function J(SG) with quality terms JTk(SG) is used as a function of manipulated variables (SG) of the active drive coils (4), and the quality function J(SG) for control of the movement of the transport unit (3) along the stator (2) is optimised with regard to the manipulated variable (SG), in order to determine optimal manipulated variables (SGopt) for the relevant time step of the control of the movement, and the active drive coils (9) are supplied with current according to the determined optimal manipulated variables (SGopt) and at least two movement phases are provided during the movement of the transport unit (3) along the stator (2). In the at least two movement phases different quality functions J(SG) are used for determining the optimal manipulated variables (SGopt), the different quality functions J(SG) differing by the number k of the quality terms JTk(SG) used and/or by the quality terms JTk(SG) and/or by the weighting factors kk.