Electro-Hydraulic Valve Actuation Control Arrangement

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Solution Overview

Problem

The nonlinear dynamics and delay in electro-hydraulic gas exchange valve actuation systems (EHVA) pose challenges in controlling the system accurately, making simple feedback controllers inadequate, and advanced controllers difficult to tune effectively.

Innovation Solution

An integrated control arrangement comprising a feedback controller, an iterative learning controller, and a delay controller, where the iterative learning controller adjusts the reference signal based on actual valve lift data and error tracking, and the delay compensator modifies the reference signal using crank angle data to improve accuracy and reduce tracking errors.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If an advanced controller is used to improve control accuracy, then measurement precision is improved, but device complexity increases and tuning time increases

Engineering Contradiction:
Improvecontrol accuracyVSAvoidcontroller complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The control system is segmented into three distinct functional blocks: a feedback controller for basic closed-loop control, an iterative learning controller for improving accuracy through repeated trials, and a delay compensator for handling system delays. This segmentation allows each component to have specialized functionality, reducing overall complexity while maintaining high accuracy.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system employs feedback mechanisms where actual valve lift data is continuously measured and fed back to the controllers. The iterative learning controller uses historical error data from previous trials to adjust future control actions, creating a feedback loop that improves accuracy over time without requiring complex real-time calculations.

Inventive Principle:
Principle #23Feedback

2Measurement precision

If an advanced controller is used to improve control accuracy, then measurement precision is improved, but tuning time increases

Engineering Contradiction:
Improvecontrol accuracyVSAvoidtuning time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The iterative learning controller performs preliminary actions by storing and analyzing error data from previous valve actuation trials before the current control cycle begins. This allows the system to learn from historical performance and automatically adjust control parameters without requiring manual retuning for each new operating condition.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The control system is designed to self-tune and self-improve automatically. The iterative learning controller continuously refines its performance by using past error data to adjust future control actions, eliminating the need for external manual tuning and reducing the time required to optimize control accuracy for different operating conditions.

Inventive Principle:
Principle #25Self-service

3Device complexity

If simple feedback control is used to reduce device complexity, then device complexity is reduced, but measurement precision deteriorates

Engineering Contradiction:
Improvecontroller complexityVSAvoidcontrol accuracy
Core Design Contradiction:
Device complexityVSMeasurement precision

Solution Approach 1:

The patent merges three control functions into a unified control arrangement that operates as an integrated system. The feedback controller, iterative learning controller, and delay compensator work together synergistically, combining the simplicity of feedback control with the accuracy-improving capabilities of iterative learning and delay compensation to achieve both low complexity and high precision.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The iterative learning controller acts as an intermediary between the simple feedback controller and the complex requirements for high accuracy. It processes historical error data and generates adjusted reference signals that refine the feedback control actions, enabling simple feedback control to achieve accurate control performance without requiring complex control algorithms.

Inventive Principle:
Principle #24Intermediary (Mediator)

Data Source

PatentEP2529090B1Control arrangement of an electro-hydraulic gas exchange valve actuation system
Publication Date: 2013.07.03 WARTSILA FINLAND OY
  • EP2529090B1 patent drawingFigure 1
  • EP2529090B1 patent drawingFigure 2
  • EP2529090B1 patent drawingFigure 3~5

AI summary

The inventive control arrangement comprises a feedback controller, in an iterative learning controller (1 ), and a delay controller (16). The feedback controller drives EHVA system. The EHVA systems means in this context the system needed to drive one valve or the system driving several valves. For simplicity, it is easier and more understandable to think about the driving of one valve. It is clear that the drive of one valve is expandable to the system driving several valves