Hydraulic Elevator Control Using Logarithmic Averaging
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Solution Overview
Problem
Existing hydraulic elevator control systems face inconsistencies in leveling times due to fixed baseline slowdown distances, which can lead to passenger discomfort and operational inefficiencies, as they fail to account for real-time operational variations.
Innovation Solution
An adaptive control system that dynamically adjusts the reference slowdown distance using real-time data processing, specifically through logarithmic averaging, to ensure consistent and accurate leveling times, enhancing ride quality and operational efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If fixed baseline slowdown distances are used for elevator control, then the control system is simple and easy to operate, but the leveling times become inconsistent and passenger comfort deteriorates
Solution Approach 1:
The patent applies dynamics by transitioning from fixed baseline slowdown distances to dynamically adjusted reference slowdown distances. The system recursively updates the reference slowdown distance based on actual leveling times measured during elevator operations, allowing the control parameter to adapt to real-time conditions while maintaining operational simplicity through automated adjustment.
Solution Approach 2:
The patent implements feedback by measuring actual leveling times during elevator operations and using this data to recursively adjust the reference slowdown distance. The system compares actual leveling performance against the target and automatically modifies the reference slowdown distance to improve consistency, creating a closed-loop control system that enhances reliability without increasing operational complexity.
2Device complexity
If fixed baseline slowdown distances are used, then device complexity is reduced, but manufacturing precision and leveling accuracy worsen
Solution Approach 1:
The patent applies self-service by enabling the control system to automatically adjust its own reference slowdown distance parameter based on measured performance data. The system monitors actual leveling times and recursively updates the reference slowdown distance without requiring external intervention or complex manual calibration, thereby improving leveling accuracy while maintaining relatively simple device architecture.
3Reliability
If real-time data processing with logarithmic averaging is implemented, then leveling time consistency improves, but device complexity and computational requirements increase
Solution Approach 1:
The patent applies parameter changes by implementing logarithmic averaging of actual leveling times before using this processed data to adjust the reference slowdown distance. This mathematical transformation smooths out variations in measured data, enabling more consistent leveling time predictions while maintaining computational efficiency suitable for embedded elevator control systems.
4Productivity
If adaptive control with recursive adjustment is used, then operational efficiency improves, but the complexity of control algorithms increases
Solution Approach 1:
The patent applies preliminary action by pre-establishing the target leveling time and the recursive adjustment framework during system configuration. The adaptive control algorithm uses these predetermined parameters to guide real-time adjustments of the reference slowdown distance, improving operational efficiency while keeping the control algorithm structure manageable through advance planning.
Data Source
AI summary
An apparatus and method for controlling a hydraulic elevator system involves setting a baseline slowdown distance based on initial tuning, establishing a target leveling time in 0.1-second intervals, monitoring elevator operations to capture high speed, transition distance, leveling speed, leveling distance data, and adjusting the reference slowdown distance to align actual leveling times with the target time. A logarithmic averaging method is employed to calculate the reference slowdown distance, ensuring consistent elevator performance by smoothing out data variations.