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Electric Motor Control Reference Application

Electric Motor Control Reference Application

Design, prototype, and test your brushless DC motor controls using Simulink and Speedgoat hardware

Reference Applications

Rapid Control Prototyping

Hardware-in-the-Loop

Adaptive Model Predictive Control in All-Electric Ship Microgrids

Adaptive Model Predictive Control in All-Electric Ship Microgrids

Hybrid energy storage systems have been widely used in transportation, microgrid, and renewable energy applications to improve system efficiency and enhance reliability. However, parameter uncertainty can significantly affect system performance. An adaptive model predictive control is developed to address this issue. Both simulation and experiments are performed to show the effectiveness of the proposed adaptive model predictive control. 

Publication on sciencedirect.com

Published Papers

Robust and Reliable Wireless Communication between Smart NOx Sensor and the Speedgoat Engine Control Module

Robust and Reliable Wireless Communication between Smart NOx Sensor and the Speedgoat Engine Control Module

The smart NOx sensor case study investigates the possibility of replacing existing wired CAN bus connections between the smart NOx sensor and the Speedgoat rapid control prototyping system and possible future wireless communication with ECU. In addition, criteria like the transmission in industrial environments, packet loss, RSSI, bit error rate, reliability, and security of the wireless solution are analyzed.

Publication on osuva.uwasa.fi

Published Papers

Rapid Control Prototyping

Exploration of Real-Time Model Predictive Control in All-Electric Ship Propulsion Systems

Exploration of Real-Time Model Predictive Control in All-Electric Ship Propulsion Systems

Shipboard load fluctuations, such as propulsion-load fluctuations and pulse power loads, can significantly affect power system reliability. This paper explores the implementation and evaluation of a real-time model predictive control-based energy management strategy for load fluctuation mitigation in an all-electric ship. The real-time implementation includes a specially tailored problem formulation, an efficient optimization algorithm, and a multi-core hardware implementation

Publication on sciencedirect.com

Published Papers

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