An In-Cycle Hardware in the Loop (HiL) Simulator for Future Engine Control Strategy Development

Reliability is a key consideration when microgrid technology is implemented in military applications. Droop control provides a simple option without requiring communication between microgrid components, increasing the control system reliability. However, traditional droop control does not allow the microgrid to utilize much of the power available from a solar resource. This paper applies an optimal multidimensional droop control strategy for a solar resource connected in a microgrid at a military patrol base. Simulation and hardware-in-the-loop experiments of a sample microgrid show that much more power from the solar resource can be utilized, while maintaining the system’s bus voltage around a nominal value, and still avoiding the need for communication between the various components.

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Adding realism to simulated sensors and actuators

Water Science & Technology ◽

10.2166/wst.2008.130 ◽

2008 ◽

Vol 57 (3) ◽

pp. 337-344 ◽

Cited By ~ 22

Author(s):

C. Rosen ◽

L. Rieger ◽

U. Jeppsson ◽

P. A. Vanrolleghem

Keyword(s):

Wastewater Treatment ◽

Markov Chains ◽

Control Strategy ◽

Strategy Development ◽

Actuator Faults ◽

Paper Briefly ◽

Sensors And Actuators ◽

Dynamic Simulations ◽

Actuator Dynamics ◽

Significant Obstacle

In this paper, we propose a statistical theoretical framework for incorporation of sensor and actuator faults in dynamic simulations of wastewater treatment operation. Sensor and actuator faults and failures are often neglected in simulations for control strategy development and testing, although it is well known that they represent a significant obstacle for realising control at full-scale facilities. The framework for incorporating faults and failures is based on Markov chains and displays the appealing property of easy transition of sensor and actuator history into a model for fault generation. The paper briefly describes Markov theory and how this is used together with models for sensor and actuator dynamics to achieve a realistic simulation of measurements and actuators.

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The Scientific Credibility of Regional Atmospheric Deposition Models Used for Control Strategy Development

Air Pollution Modeling and Its Application VIII ◽

10.1007/978-1-4615-3720-5_22 ◽

1991 ◽

pp. 251-255

Author(s):

Thomas F. Lavery

Keyword(s):

Atmospheric Deposition ◽

Control Strategy ◽

Strategy Development ◽

Deposition Models

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Photochemical Oxidant Model Application within the Framework of Control Strategy Development in the Dutch/German Programme Phoxa

Studies in Environmental Science ◽

10.1016/s0166-1116(08)70627-7 ◽

1989 ◽

pp. 633-646

Author(s):

J. Pankrath

Keyword(s):

Control Strategy ◽

Strategy Development ◽

Model Application ◽

Photochemical Oxidant

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HIL Testbed and Motion Control Strategy for the Hybrid Hydraulic-Electric Architecture (HHEA)

10.1115/fpmc2021-68888 ◽

2021 ◽

Author(s):

Arpan Chatterjee ◽

Perry Y. Li

Keyword(s):

Motion Control ◽

Control Strategy ◽

Control Strategies ◽

Electric Machines ◽

Hardware In The Loop ◽

System Efficiency ◽

Electric Motors ◽

Test Bed ◽

Road Vehicles ◽

Precise Control

Abstract The Hybrid Hydraulic-Electric Architecture (HHEA) was proposed in recent years to increase system efficiency of high power mobile machines and to reap the benefits of electrification without the need for large electric machines. It uses a set of common pressure rails to provide the majority of power hydraulically and small electric motors to modulate that power for precise control. This paper presents the development of a Hardware-in-the-loop (HIL) test-bed for testing motion control strategies for the HHEA. Precise motion control is important for off-road vehicles whose utility requires the machine being dexterous and performing tasks exactly as commanded. Motion control for the HHEA is challenging due to its intrinsic use of discrete pressure rail switches to minimize system efficiency or to keep the system within the torque capabilities of the electric motor. The motion control strategy utilizes two different controllers: a nominal passivity based back-stepping controller used in between pressure rail switches and a transition controller used to handle the event of a pressure rail switch. In this paper, the performance of the nominal control under various nominal and rail switching scenarios is experimentally evaluated on the HIL testbed.

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