An optimized distributed real-time simulation framework for high fidelity flight simulator research

Zheng, Shupeng; Zheng, Shiqiang; He, Jiping; Han, Junwei

doi:10.1109/icinfa.2009.5205172

Cited by 5 publications

(3 citation statements)

References 2 publications

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“…A novel method to develop high fidelity LDP sensor model for evaluating the weapon release performance of Mission Computer on the ground to reduce the flight test effort and also the development life cycle effort is proposed. The simulated LDP model is integrated with other simulation elements namely flight dynamics models, weapon models, synthetic environment, etc., to bring the system in a dynamic environment to accomplish the mission goals 5,6,7 . Acceptance test plan and procedures are made to ensure the fidelity of the model for testing the avionics and weapons system.…”

Section: Introductionmentioning

confidence: 99%

A Novel Method to Develop High Fidelity Laser Sensor Simulation Model for Evaluation of Air to Ground Weapon Algorithms of Combat Aircraft

Kumar

Prasad

2019

Def. Sc. Jl.

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Successful release of any air to ground weapon from a combat aircraft is determined based on the positional parameters received from the sensors and the mission cues. Laser designated pod is one of the most sought weapon sensor, which gives the accurate data for Air to Ground weapon aiming. Laser designated pod being hardware intensive system, works with real world environment, it increases the development and integration effort towards finalising the weapon aiming algorithms and also pilot vehicle interface requirements. A novel method using mathematical models and the atmospheric error models is proposed to develop a high fidelity laser designated pod simulation model for functional and performance evaluation of weapon algorithms. The factors affecting the weapon trajectory computations are also considered in the sensor model outputs. The sensor model is integrated in the high fidelity flight simulator, which consists of both aircraft and Real world systems either as actual or simulated for close loop pilot evaluation. The behaviour of the sensor model is cross validated and fine-tuned with the actual sensor output and confirmed that the developed laser designated pod sensor simulation model meets all the requirement to test the air to ground weapons in the flight simulator.

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Section: Introductionmentioning

confidence: 99%

A Novel Method to Develop High Fidelity Laser Sensor Simulation Model for Evaluation of Air to Ground Weapon Algorithms of Combat Aircraft

Kumar

Prasad

2019

Def. Sc. Jl.

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“…Email addresses: madhum@iastate.edu (Madhu Monga), manoj.karkee@wsu.edu (Manoj Karkee), sunsong@iastate.edu (Song Sun), kirantl@iastate.edu (Lakshmi Kiran Tondehal), bsteward@iastate.edu (Brian Steward), akelkar@iastate.edu (Atul Kelkar), zambreno@iastate.edu (Joseph Zambreno) 1 Manoj Karkee is with the Department of Biological Systems Engineering, Washington State University. 2 Corresponding author (a) Effect of time step using a 16th order linear system.…”

Section: Introductionmentioning

confidence: 99%

“…It has been utilized by engineers in various industries such as aviation [1], power systems [2], networking [3], automotive [4], traffic management [5], and medicine [6]. The physical systems encountered in these areas are mathematically modeled by deriving the ordinary differential equations (ODEs)…”

Section: Introductionmentioning

confidence: 99%

Real-time simulation of dynamic vehicle models using a high-performance reconfigurable platform

Monga

Roggow

Karkee

et al. 2015

Microprocessors and Microsystems

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A purely software-based approach for Real-Time Simulation (RTS) may have difficulties in meeting real-time constraints for complex physical model simulations. In this paper, we present a methodology for the design and im-plementationof RTS algorithms,basedontheuseof Field-ProgrammableGateArray(FPGA) technologytoimprove the response time of these models. Our methodology utilizes traditional hardware/ software co-design approaches to generate a heterogeneous architecture for an FPGA-based simulator. The hardware design was optimized such that it efficiently utilizes the parallel nature of FPGAs and pipelines the independent operations. Further enhancement is obtained through the use of custom accelerators for common non-linear functions. Since the systems we examined had relatively low response time requirements, our approach greatly simplifies the software components by porting the computationally complexregionsto hardware.We illustratethe partitioningofa hardware-based simulator design across dual FPGAs, initiateRTS usinga system input froma Hardware-in-the-Loop (HIL) framework, and use these simulation results from our FPGA-based platform to perform response analysis. The total simulation time, which includes the time required to receive the system input over a socket (without HIL), software initialization, hardware computation, and transferof simulation results backovera socket, showsa speedup of 2× as compared to a similar setup with no hardware acceleration. The correctness of the simulation output from the hardware has also been validated with the simulated results from the software-only design. AbstractA purely software-based approach for Real-Time Simulation (RTS) may have difficulties in meeting real-time constraints for complex physical model simulations. In this paper, we present a methodology for the design and implementation of RTS algorithms, based on the use of Field-Programmable Gate Array (FPGA) technology to improve the response time of these models. Our methodology utilizes traditional hardware/software co-design approaches to generate a heterogeneous architecture for an FPGA-based simulator. The hardware design was optimized such that it efficiently utilizes the parallel nature of FPGAs and pipelines the independent operations. Further enhancement is obtained through the use of custom accelerators for common non-linear functions. Since the systems we examined had relatively low response time requirements, our approach greatly simplifies the software components by porting the computationally complex regions to hardware. We illustrate the partitioning of a hardware-based simulator design across dual FPGAs, initiate RTS using a system input from a Hardware-in-the-Loop (HIL) framework, and use these simulation results from our FPGA-based platform to perform response analysis. The total simulation time, which includes the time required to receive the system input over a socket (without HIL), software initialization, hardware computation, and transfer of simulation results back over a sock...

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A Dynamic Load Balancing Strategy For Real-Time Aircraft Collaborative Simulation

Zhao¹,

Peng²,

Zhang³

2015

Proceedings of the 2015 International Conference on Electrical, Automation and Mechanical Engineering

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Abstract--Synergic collaboration and load balancing are important techniques for complex aircrafts system simulation. The synergic models included aerodynamic, atmospheric and engine control models are studied and categorized into two groups in this paper. Moreover, optimizing the dispatch strategy is an essential approach to manage the complex tasks of aircraft simulation. A fading memory strategy using least squares method is proposed to solve the information aging problem and the binary-tree hierarchical organization based on the periodical feature with the proposed strategy is adaptive for the aircraft simulation.Keywords-dynamic load balancing; migration strategy; aircraft simulation; real-time I INTRODUCTIONAircraft dynamics simulation is a complex nonlinear process whereby engine, aerodynamic and atmospheric models are solved simultaneously [1]. Optimizing the dispatch strategy is an essential approach to manage the complex tasks of aircraft simulation. To meet the real-time requirement demanded by interactive simulations, one of the scheduling strategies is balancing the load in the simulation execution and providing fault-tolerance capability [2].Load balancing is proposed for avoiding excessive resources consumption peaks in a simulation system, such as the system has the set of all computational simulation nodes and network components involved in an event. Several load balancing mechanisms have been proposed for a wide variety of distributed applications, which can be categorized into two groups: manual and dynamic load balancing. Manual load balancing is a front-loaded strategy where potential performance peaks are anticipated and the initial system is configured in a way that is hoped to produce minimal resource consumption peaks before the start of a simulation event. Therefore, the manual load balancing strategy is inexact and inefficient for highly simulation performance [3]. Dynamic load balancing techniques are required to Due to the logically model building process of aircraft simulation, the dynamic load balancing mechanism with federate migration strategy is fit for our research where entities and logical process are at the same space. This paper is focused on the load balancing strategies, aiming to improve the dynamic algorithm and apply to aircraft collaborative simulation. II COLLABORATIVE SIMULATION MODELThe design and development of complex aircraft systems involves multiple disciplines such as aerodynamic and atmospheric models and engine control, and the collaborative approach becomes an essential tool [7]. The synergic collaboration of multidisciplinary computational models involves the exchange of simulation data generated in parallel at runtime from the numerical integration processes of these models as shown in Figure 1 which can be divided into real-time and non real-time parts.As an essential technical approach to manage the complex synergic collaboration processes, the load balancing involves three aspects, load monitoring, migration policy and priority scheduling [8]. Load mo...

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An optimized distributed real-time simulation framework for high fidelity flight simulator research

Cited by 5 publications

References 2 publications

A Novel Method to Develop High Fidelity Laser Sensor Simulation Model for Evaluation of Air to Ground Weapon Algorithms of Combat Aircraft

A Novel Method to Develop High Fidelity Laser Sensor Simulation Model for Evaluation of Air to Ground Weapon Algorithms of Combat Aircraft

Real-time simulation of dynamic vehicle models using a high-performance reconfigurable platform

A Dynamic Load Balancing Strategy For Real-Time Aircraft Collaborative Simulation

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