Optimization for PID Control Parameters on Pitch Control of Aircraft Dynamics Based on Tuning Methods

Today many aircraft control systems and process control ind ustries are employing classical controller such as Proport ional Integral Derivative Controller (PID) to improve the system characteristics and dynamic performance. To improve the st ability analysis and system performance of an aircraft, PID controller is emp loyed in this paper. The safety of flight envelope can be impro ved by tuning parameters of PID controller for pitch control dynam ics of an aircraft. Designing the mathematical model is nece ssary and important to describe the longitudinal pitch control of gen eral aviation aircraft system. PID controller is developed based on dynamic and mathematical modeling of an aircraft system. The variou s tuning methods such as Zeigler-Nichols method (ZN), Modifi e ZeiglerNichols method, TyreusLuyben tuning and Astrom-Hagglund tuning methods are evaluated for general aviation aircraft sys em. The simulation results prove that PID controller parameters tu ned by ZN method for general aviation aircraft dynamics is be tter compared to the other methods in improving the stability and performa nce of flight in all conditions such as climb, cruise and appro ach phase.

[1]  N. Hassan,et al.  Self-Tuning Fuzzy PID Controller Design for Aircraft Pitch Control , 2012, 2012 Third International Conference on Intelligent Systems Modelling and Simulation.

[2]  S. Deepa Longitudinal Control of an Aircraft Using Artificial Intelligence , 2013 .

[3]  Belkacem Kada,et al.  Robust PID Controller Design for an UAV Flight Control System , 2011, WCE 2011.

[4]  Robert F. Stengel,et al.  Robust nonlinear flight control of a high-performance aircraft , 2005, IEEE Transactions on Control Systems Technology.

[5]  J. G. Ziegler,et al.  Optimum Settings for Automatic Controllers , 1942, Journal of Fluids Engineering.

[6]  Nurhaffizah Hassan,et al.  Application of intelligent controller in feedback control loop for aircraft pitch control , 2011 .

[7]  Yun Li,et al.  PID control system analysis, design, and technology , 2005, IEEE Transactions on Control Systems Technology.

[8]  Perry W. Stout,et al.  Robust Longitudinal Control Design Using Dynamic Inversion and Quantitative Feedback Theory , 1997 .

[9]  C. Hang,et al.  Refinements of the Ziegler-Nichols tuning formula , 1991 .

[10]  Haiyan Wang,et al.  Design of Series Leading Correction PID Controller , 2009, 2009 International Symposium on Computer Network and Multimedia Technology.

[11]  Tore Hägglund,et al.  Advances in Pid Control , 1999 .

[12]  G. Bryan,et al.  The Longitudinal Stability of Aerial Gliders , 1904, Proceedings of the Royal Society of London.

[13]  S. N. Deepa,et al.  Modeling and Approximation of STOL Aircraft Longitudinal Aerodynamic Characteristics , 2015 .

[14]  John David Anderson,et al.  Introduction to Flight , 1985 .

[15]  William L. Luyben,et al.  Essentials of Process Control , 1996 .

[16]  T. Teichmann,et al.  Dynamics of Flight: Stability and Control , 1959 .

[17]  L. B. Schiff,et al.  On the formulation of the aerodynamic characteristics in aircraft dynamics , 1976 .

[18]  Karl Johan Åström,et al.  PID Controllers: Theory, Design, and Tuning , 1995 .

[19]  Robert C. Nelson,et al.  Flight Stability and Automatic Control , 1989 .

[20]  Ramón Vilanova,et al.  Two-Degree-of-Freedom PI/PID tuning approach for smooth control on cascade control systems , 2008, 2008 47th IEEE Conference on Decision and Control.

[21]  Sergio Ronaldo Barros dos Santos,et al.  Longitudinal autopilot controllers test platform hardware in the loop , 2011, 2011 IEEE International Systems Conference.