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Empowering Mantsinen Material Handling with Reality-Driven Simulation
Mantsinen, a Finnish leader in heavy mobile machinery, is redefining precision and efficiency in material handling through the integration of Virtual Sensor technology. This innovative partnership introduces a new era of intelligent, data-driven machinery designed to meet the demands of modern industry.
Challenges in Modern Material Handling
Use Case: Development of the Payload Estimation Model
Objective: Develop and validate a mechanics model and estimation algorithms for payload calculation in the Mantsinen 120M material handler.
What was done?
→ Modeling of rigid bodies, joints, and external forces to simulate the machine’s physical behavior during operations.
→ Development of estimation algorithms to enhance the accuracy of the mechanics model using real-world sensor data (e.g., encoders, gyroscopes).
→ Development of virtual sensor models to simulate measurements that are difficult to obtain physically, such as dynamic forces and accelerations.
Results
→ The mechanics model accurately simulated key behaviors of the Mantsinen 120M, including payload and force distributions.
→ Virtual sensors successfully estimated parameters like forces and displacements, reducing dependency on expensive physical sensors.
→ Evaluated the load estimation accuracy and efficiency by integrating real sensor measurements into the model.
→ Demonstrated feasibility for broader estimation of other machine measurements, paving the way for future development of next-generation control systems.
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