Research on Co-simulation Method in ADAMS and MATLAB for Missile Seeker’s Stabilization Platform Design

  • Xueping Zhu
  • Zhengchun Liu
  • Jun Yang
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 402)


Missile seeker’s stabilization platform, also called coordinator was one of the key parts of seeker. In this study, an ADAMS/Matlab co-simulation environment for the design of seeker’s stabilization platform was proposed. First, the mechanical model of coordinator is analyzed, virtual prototype model of the coordinator was built through SolidWorks and ADAMS, and the control model of the coordinator was built through MATLAB and Simulink toolbox. Then co-simulation model was achieved through ADAMS/Control block and Matlab/Simulink port. At last, model accuracy was verified by using coordinator’s real data. With all of these, control system of the coordinator was designed in the co-simulation environment, and isolation performance of the coordinator was tested in this co-simulations environment. Simulation results show that the coordinator’s design work based on the ADAMS/Matlab co-simulation environment is feasible, effective and practical, and it has advantages such as higher fidelity of controlled objective, easier for modeling and debugging compared with traditional design strategy of mathematical methods, and provided a new design approach for high performance coordinator.


ADAMS and MATLAB Co-Simulation Method Virtual Prototype Coordinator Mechanical Control System 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Dong, L., Zhaoxiang, D., Jun, H., Hengyuan, W.: Unite simulation and analysis for vehicle suspension based on ADAMS /Matlab. Modern Manufacturing Engineering 8, 71–75 (2012)CrossRefGoogle Scholar
  2. 2.
    Li, B.-M., Qian, Z.-B., Cheng, H.-J., Liu, Z.-H.: Co-simulation of Engine for AUV in ADAMS and MATLAB. Journal of System Simulation 22(7), 1668–1673 (2010)Google Scholar
  3. 3.
    Xiao, P., Xie, Z.: Co-simulation of Rotor System Supported by Magnetic Bearings Based on ADAMS and MATLAB. System SimulationTechnolog 7(1) (2011)Google Scholar
  4. 4.
    Zhang, J., Hu, Y., Wu, H.: Co-simulation of magnetic suspended rotor system: research and application. In: International Conference on Mechatronics and Automation, pp. 1711–1715. IEEE Press, Changchun (2009)Google Scholar
  5. 5.
    Mou, W., Xie, Z.: Variation parameters control of active magnetic bearing flexible rotor system, pp. 55–62. Wuhan Technology Press, Wuhan (2009)Google Scholar
  6. 6.
    Zhang, X., Sun, B., Sun, Q.: ChenNan: Vehicle and terrain interaction based on Adams-Matlab co-simulation. Journal of Southeast University 25(3), 335–339 (2009)Google Scholar
  7. 7.
    Lin, L., Corina, S.: On the impact of cargo weight vehicle parameters, and terrain characteristics on the prediction of traction for off-road vehicles. Journal of Terramechanics 44(3), 221–238 (2007)CrossRefGoogle Scholar
  8. 8.
    Carsten, H., Bjoern, L., Roland, J.: A new tire-soil interaction model for vehicle simulation on deformable ground. Vehicle System Dynamics 43(sup), 384–394 (2005)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Xueping Zhu
    • 1
  • Zhengchun Liu
    • 1
  • Jun Yang
    • 1
  1. 1.School of AstronauticsNorthwestern Polytechnical UniversityXi’anChina

Personalised recommendations