By: Nafees Ahmed Asstt. Prof., Department of Electrical Engineering,

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The Performance of Feedback Control Systems
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Presentation transcript:

Performance analysis of reduced Order Aircraft Bank Angle Control System By: Nafees Ahmed Asstt. Prof., Department of Electrical Engineering, DIT University, Dehradun

Introduction Order reduction is very important issue in control system. Analysis, simulation and response of a lower order system are simple and fast. In this paper, a simple but very effective approach based on Routh Criterion is used to determine reduced order model of an unstable open-loop system.

Introduction … Aircraft bank angle control system is considered here, which is an open loops 3rd order unstable system. This 3rd order system is converted to 2nd order system and performance comparison is done for both the systems. Simulation is carried out in MATLAB® environment.

Order Reduction by V. Krishnamurthy’s and Seshardri Result Let the open loops transfer function of a system is Closed loop characteristic equation of above sys will be Apply Routh criterion to above characteristic equation and then by Krishnamurthy approach, reduced characteristic equation will be Where n<m

Order Reduction by V. Krishnamurthy’s and Seshardri Result … So now open loop reduced order system will be

Reduced Order Model of Aircraft Bank Angle Control System The open loop transfer function of aircraft bank angle control system is given by [12] Unstable system The closed loop characteristic of above system will be

Reduced Order Model of Aircraft Bank Angle Control System… Apply Routh criterion to above equation s3 1 14 s2 11.4 114K   s1 0 s0 114K Using Krishnamurthy’s approach, reduced order closed loop characteristic equation will be

Reduced Order Model of Aircraft Bank Angle Control System… Hence Reduced order open loop transfer function of the system will be Which is also an unstable system Reduced order closed loop transfer function for unity feed back system will be

Analysis Figure 1: Step response of Original 3rd order and reduced 2nd order system

Analysis …

Conclusion As we see from figure 1, there are slight variations in the time specifications of the reduced order system. The Rise time, Peak time & peak overshoot are increased by around 2%, but the settling time which has the maximum variation is increased by 4.5%. There is no change in undershoot. Further we can set the parameter of the system so that the variations in the system output are minimized. This method of reduction[3] can be used for analysis of the higher order system and it can also be applied to other open loop unstable electrical or mechanical systems.

References Y. Shamash, “Stable reduce order models using Pade type approximation”, IEEE Trans., Automat. Contr., Vol. 19, pp615-616,1974. M.F. Hutton and B. Friedland, “Routh approximations for reducing order of linear , time invariant systems”, IEEE Trans., Automat. Contr., Vol. 20, pp329-337,1975. V. Krishnamurthy and V. Seshadri, “Model reduction using the Routh stability criterion”, IEEE Trans., Automat., Contr., Vol. 23 pp729-730,1978. T. N. Lucas, “Biased model reduction by factor division,” Electronics Letters , vol. 20, p. 582, 1984. J. Pal, “An algorithm method for the simplification of linear dynamic systems”, International Journal of control , col. 43, pp. 257, 1986 Y. Shamash, “Truncation method of reduction: A viable alternative”, Electron. Lett., vol 17, pp.97-99, 1981.

References… S. Mukherjee and R.N. Mishra, “Oder reduction of linear system using an error minimization technique”, J.Frank. inst.,Vol. 323, pp.23-32,1987. R. Parthasarthy and S.Jhon, “Cauer continued fraction methods for model reduction,“ Electron. Lett., vol.17,no.21,pp.792-792,`1981. R. Prasad, S. P. Sharma and A. K. Mittal, “Linear model reduction using the advantages of Mikhailov criterion and factor division,” Journal of Institution of Engineers, vol. 84, pp. 7-10, 2003. M. Davidson, “Balanced systems and model reduction,” Electron.Lett., vol. 22, pp. 531-532, 1986. G. D. Howitt and R. Luss, “Model reduction by minimization of integral square error performance indices,” J. Frank. Inst., vol. 327, pp. 343-357, 1990 “Modern Control Sytem”, By Richard C. Dorf and Robert H. Bishop, 12th edition, 2008. M. Gopal, Control Systems (Principles and Design), Tata McGraw Hill, 2008.

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