Elevator Drive Auto-Tuning via External Computing
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Solution Overview
Problem
Elevator systems face suboptimal performance due to changes in motor and electrical grid conditions over time, requiring a system to monitor and automatically update drive parameters for improved operation.
Innovation Solution
A system comprising an elevator drive portion and an external computing device that communicates to receive operational data, determine valid parameters, and transmit commands for auto-tuning, including motor and load parameters, to maintain optimal performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual commissioning is used to input drive parameters, then initial system setup is completed, but the system cannot adapt to changes in motor and electrical grid conditions over time
Solution Approach 1:
The system automatically monitors operational data and updates drive parameters without requiring manual intervention. The external computing device receives operational data from the drive portion, determines operational parameters, and transmits commands back to update parameters autonomously, eliminating the need for installer presence and manual operations.
Solution Approach 2:
The system implements a closed-loop feedback mechanism where operational data is continuously monitored and fed back to update drive parameters. The external computing device receives operational data, processes it to determine optimal parameters, and automatically transmits update commands to the drive portion, enabling continuous adaptation to changing conditions.
2Productivity
If drive parameters are fixed after commissioning, then system stability is maintained, but performance deteriorates as motor and grid conditions change
Solution Approach 1:
The system transitions from static fixed parameters to dynamic adaptive parameters. Drive parameters are continuously adjusted based on real-time operational data monitoring, allowing the system to adapt to changing motor and electrical grid conditions while maintaining optimal performance throughout its operational life.
Solution Approach 2:
The system automatically changes drive parameters based on monitored operational conditions. The external computing device determines optimal operational parameters from operational data and automatically transmits update commands to modify motor control parameters and load parameters, enabling the system to maintain peak performance as conditions evolve.
3Reliability
If continuous monitoring is implemented, then optimal performance is maintained, but system complexity increases
Solution Approach 1:
The external computing device serves as an intermediary between the drive portion and the parameter update process. It receives operational data, processes the information to determine optimal parameters, validates the parameters, and transmits update commands, thereby managing system complexity while enabling continuous monitoring and adaptation.
4Loss of time
If manual parameter updates are performed, then system changes can be made, but time and labor resources are consumed
Solution Approach 1:
The system performs self-updating of drive parameters without requiring manual intervention. The external computing device automatically receives operational data, determines optimal parameters, validates them, and transmits update commands to the drive portion, eliminating the need for installer presence and significantly reducing time and labor resources.
Solution Approach 2:
The system performs preliminary validation of operational parameters before applying updates. The external computing device validates determined parameters to ensure they meet required criteria before transmitting update commands, preventing invalid updates and ensuring system reliability while operating autonomously.
Data Source
AI summary
A system including a drive portion, and an external computing device in communication with the drive portion, wherein the external computing device is configured to receive operational data from the drive portion, determine operational parameters based at least in part on the operational data, determine whether the operational parameters are valid, and automatically transmit commands to the drive portion if the operational parameters are valid.