Hydraulic Servo Pressure Control with Automated Parameter Identification
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for determining control parameters of hydraulic systems, particularly those with servo drives, are time-consuming, user-dependent, and lack precision, often requiring manual iterative tuning and are not well-suited for rapid parameterization due to the complexity of dynamics and the need for experienced personnel.
Innovation Solution
An automated method that applies an excitation signal to the target speed of the servo drive to measure actual system pressure, determining system dynamics and calculating control parameters, allowing for quick, accurate, and reproducible parameterization of control units, independent of user expertise, and enabling adaptation to changing conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual iterative tuning is used to determine control parameters, then the control parameters can be adjusted to achieve desired dynamics, but the process is time-consuming and requires experienced specialist personnel
Solution Approach 1:
The system performs self-identification by automatically applying excitation signals to the servo drive and measuring the resulting system pressure to determine dynamics and calculate control parameters without human intervention, eliminating the need for experienced personnel and significantly reducing parameterization time
Solution Approach 2:
The method performs preliminary system identification by determining the dynamics of the hydraulic system before final controller parameterization, using measured data from excitation signals to pre-calculate optimal control parameters that achieve desired dynamics
2Adaptability or versatility
If manual tuning by experienced personnel is used, then control parameters can be optimized for desired dynamics, but the process depends on user expertise and is not reproducible
Solution Approach 1:
The method replaces the manual mechanical tuning process with an automated computational system that uses mathematical models and algorithms to determine control parameters based on measured system dynamics, eliminating dependence on user expertise and ensuring reproducible results
Solution Approach 2:
The system uses feedback from measured system responses to excitation signals to iteratively determine the dynamics and calculate optimal control parameters, automatically adapting to the specific characteristics of each hydraulic system without requiring user intervention
3Reliability
If PID structure with additional filters is used for control, then the control structure is well-established, but the number of parameters to be determined increases and complicates manual design
Solution Approach 1:
The method performs preliminary determination of system dynamics and calculates all control parameters in one automated process before controller implementation, preventing the need for iterative adjustment of multiple parameters and simplifying the overall design process while maintaining the reliable PID structure
Data Source
AI summary
In order to carry out largely automated parameterisation of the closed-loop control parameters for closed-loop control of a hydraulic system comprising a servo drive, a method and a device for determining the closed-loop parameters of a closed-loop control unit of the hydraulic system are specified, wherein an actual system pressure of a hydraulic consumer of the hydraulic system is closed-loop controlled by means of a predefined set point rotational speed of a servo drive, wherein an actual rotational speed of the servo drive follows the predefined set point rotational speed, wherein an excitation signal is applied to the setpoint rotational speed, and the actual system pressure which is set here is measured, the dynamics of the hydraulic system are acquired from the actual rotational speed and/or the setpoint rotational speed and the actual system pressure, and the closed-loop control parameters are calculated from the acquired dynamics.