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‫الرحيم‬ ‫الرحمن‬ ‫ا‬ ‫بسم‬
In the name of GOD
DEVELOPMENT OF FUZZY LOGIC LQR CONTROLDEVELOPMENT OF FUZZY LOGIC LQR CONTROL
INTEGRATION FOR FULL MISSION MULTISTAGEINTEGRATION FOR FULL MISSION MULTISTAGE
AERIAL REFUELING AUTOPILOTAERIAL REFUELING AUTOPILOT
By
Eng. Ahmed Momtaz Hosny
School of Astronautics, Beihang University
Beijing, China
2008
Development of Fuzzy Logic LQR Control Integration for Full Mission Multistage Aerial Refueling Autopilot (PhD Thesis)
Aerial Refueling
Significance1-Most of fighter aircrafts can’t exceed a certain range of
2000 Km and endurance of about 2 hours according to
the small fuel capacity
2-To perform an air domination and stability over far
territories during the military operations specially for large
number of fighters
3-Providing aerial refueling autopilot for each fighter
aircraft permits the tanker aircraft to supply large number
of fighters in short time without any mishaps that could
happen during the manual process
Introduction to Air Force Aerial Refueling Methods
Flying Boom versus Hose-and-Drogue
Development of Fuzzy Logic LQR Control Integration for Full Mission Multistage Aerial Refueling Autopilot (PhD Thesis)
Development of Fuzzy Logic LQR Control Integration for Full Mission Multistage Aerial Refueling Autopilot (PhD Thesis)
Main Objectives
1- Satisfying Flying Qualities standard
2- Minimizing the mission time
3- Satisfying the Tanker-Fighter safety
constraints
3 Stages Aerial Refueling
Autopilot
1- Initial Stability Stage (LQR)
2- Tracking stage (LQRIFL)
3- Alignment Stage (LQR with Phase Lead
compensator)
F-16 Nonlinear model
F-16 Control Channels
Aircraft linearized model
Aircraft Trimming at Prescribed points
Model Linearization using the Jacobean
matrices
)()()()()( tutBtxtAtx +=•
)()()()()( tutDtxtCty +=
)()()( txtCty =
Development of Fuzzy Logic LQR Control Integration for Full Mission Multistage Aerial Refueling Autopilot (PhD Thesis)
Aircraft Lateral Dynamics in Linearized
form
Development of Fuzzy Logic LQR Control Integration for Full Mission Multistage Aerial Refueling Autopilot (PhD Thesis)
1-Initial Stability Stage1-Initial Stability Stage
Development of Fuzzy Logic LQR Control Integration for Full Mission Multistage Aerial Refueling Autopilot (PhD Thesis)
Development of Fuzzy Logic LQR Control Integration for Full Mission Multistage Aerial Refueling Autopilot (PhD Thesis)
Development of Fuzzy Logic LQR Control Integration for Full Mission Multistage Aerial Refueling Autopilot (PhD Thesis)
LQ Formulation of the Tracker Problem
Development of Fuzzy Logic LQR Control Integration for Full Mission Multistage Aerial Refueling Autopilot (PhD Thesis)
Pitch Rate Controller
Lateral – Directional
Controller
PID Fuzzy Logic Controller
LQ Integrated Fuzzy Logic Controller
Flowchart of GA Functions
Optimizing Fuzzy Output
Gains
Tuning of Fuzzy Sets
Development of Fuzzy Logic LQR Control Integration for Full Mission Multistage Aerial Refueling Autopilot (PhD Thesis)
Comparison between LQR with and without Fuzzy PID
for Longitudinal and Lateral Motion
Up to 8% improving the (PI)
2- Tracking Stage2- Tracking Stage
Development of Fuzzy Logic LQR Control Integration for Full Mission Multistage Aerial Refueling Autopilot (PhD Thesis)
Input Commands to
Receiving Aircraft
Development of Fuzzy Logic LQR Control Integration for Full Mission Multistage Aerial Refueling Autopilot (PhD Thesis)
Development of Fuzzy Logic LQR Control Integration for Full Mission Multistage Aerial Refueling Autopilot (PhD Thesis)
3-Alignment Stage
Plane Formation Geometry
Alignment Stage
Controller
Development of Fuzzy Logic LQR Control Integration for Full Mission Multistage Aerial Refueling Autopilot (PhD Thesis)
Trajectory scenario in x-y plane for both wingman
and leader
(Boeing KC 767 Tanker – Boom configuration) versus (KC-130J Tanker with Hose –
Drogue configuration) (case study)
Development of Fuzzy Logic LQR Control Integration for Full Mission Multistage Aerial Refueling Autopilot (PhD Thesis)
Development of Fuzzy Logic LQR Control Integration for Full Mission Multistage Aerial Refueling Autopilot (PhD Thesis)
Development of Fuzzy Logic LQR Control Integration for Full Mission Multistage Aerial Refueling Autopilot (PhD Thesis)
Development of Fuzzy Logic LQR Control Integration for Full Mission Multistage Aerial Refueling Autopilot (PhD Thesis)
Development of Fuzzy Logic LQR Control Integration for Full Mission Multistage Aerial Refueling Autopilot (PhD Thesis)
Control Strategy
 Final ConclusionFinal Conclusion

It is clear from the present work that there is some basic requirements should be satisfied inIt is clear from the present work that there is some basic requirements should be satisfied in
order to establish efficient aerial refueling autopilots such as (1- flying qualities requirements, 2-order to establish efficient aerial refueling autopilots such as (1- flying qualities requirements, 2-
safety and secured approaching in the final docking, 3- minimization the whole mission timesafety and secured approaching in the final docking, 3- minimization the whole mission time
period) which implies that a multistage autopilot is needed for this purpose. Therefore LQRperiod) which implies that a multistage autopilot is needed for this purpose. Therefore LQR
technique was used to satisfy the flying qualities, providing control integration with fuzzy logictechnique was used to satisfy the flying qualities, providing control integration with fuzzy logic
controller that enhance the output performance index. Applying an optimal trajectory during thecontroller that enhance the output performance index. Applying an optimal trajectory during the
tracking stage had a great effect in minimizing the total mission time. Using flight formationtracking stage had a great effect in minimizing the total mission time. Using flight formation
principle in last stage (alignment stage) had satisfied the required tanker geometrical constrainsprinciple in last stage (alignment stage) had satisfied the required tanker geometrical constrains
mentioned before. Thus a multistage autopilot could be realized in such described sequencementioned before. Thus a multistage autopilot could be realized in such described sequence
verifying the safety and security with minimizing the mission time interval that permit severalverifying the safety and security with minimizing the mission time interval that permit several
aircrafts to be refueled in such an optimum time period. In this way it is possible to avoid anyaircrafts to be refueled in such an optimum time period. In this way it is possible to avoid any
mishaps from the pilots during manual process.mishaps from the pilots during manual process.
 Recommended Future WorkRecommended Future Work

It is recommended to apply the final multistage autopilot for a several aircrafts or a completeIt is recommended to apply the final multistage autopilot for a several aircrafts or a complete
squadron to optimize the air refueling process time for a number of aircrafts so that decreasesquadron to optimize the air refueling process time for a number of aircrafts so that decrease
the time required for the tanker aircraft to stay in the air especially in the operations time.the time required for the tanker aircraft to stay in the air especially in the operations time.
Consequently reducing the time needed for the fighter aircrafts to be refueled thus decreasingConsequently reducing the time needed for the fighter aircrafts to be refueled thus decreasing
the time to be exposed to any aggressors. This will require also different guidance lawsthe time to be exposed to any aggressors. This will require also different guidance laws
according to the aircraft position with central controller installed in the tanker aircraft.according to the aircraft position with central controller installed in the tanker aircraft.
Development of Fuzzy Logic LQR Control Integration for Full Mission Multistage Aerial Refueling Autopilot (PhD Thesis)
Thank You

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Development of Fuzzy Logic LQR Control Integration for Full Mission Multistage Aerial Refueling Autopilot (PhD Thesis)

  • 1. ‫الرحيم‬ ‫الرحمن‬ ‫ا‬ ‫بسم‬ In the name of GOD
  • 2. DEVELOPMENT OF FUZZY LOGIC LQR CONTROLDEVELOPMENT OF FUZZY LOGIC LQR CONTROL INTEGRATION FOR FULL MISSION MULTISTAGEINTEGRATION FOR FULL MISSION MULTISTAGE AERIAL REFUELING AUTOPILOTAERIAL REFUELING AUTOPILOT By Eng. Ahmed Momtaz Hosny School of Astronautics, Beihang University Beijing, China 2008
  • 4. Aerial Refueling Significance1-Most of fighter aircrafts can’t exceed a certain range of 2000 Km and endurance of about 2 hours according to the small fuel capacity 2-To perform an air domination and stability over far territories during the military operations specially for large number of fighters 3-Providing aerial refueling autopilot for each fighter aircraft permits the tanker aircraft to supply large number of fighters in short time without any mishaps that could happen during the manual process
  • 5. Introduction to Air Force Aerial Refueling Methods Flying Boom versus Hose-and-Drogue
  • 8. Main Objectives 1- Satisfying Flying Qualities standard 2- Minimizing the mission time 3- Satisfying the Tanker-Fighter safety constraints
  • 9. 3 Stages Aerial Refueling Autopilot 1- Initial Stability Stage (LQR) 2- Tracking stage (LQRIFL) 3- Alignment Stage (LQR with Phase Lead compensator)
  • 12. Aircraft linearized model Aircraft Trimming at Prescribed points Model Linearization using the Jacobean matrices )()()()()( tutBtxtAtx +=• )()()()()( tutDtxtCty += )()()( txtCty =
  • 14. Aircraft Lateral Dynamics in Linearized form
  • 20. LQ Formulation of the Tracker Problem
  • 24. PID Fuzzy Logic Controller
  • 25. LQ Integrated Fuzzy Logic Controller
  • 26. Flowchart of GA Functions
  • 30. Comparison between LQR with and without Fuzzy PID for Longitudinal and Lateral Motion Up to 8% improving the (PI)
  • 31. 2- Tracking Stage2- Tracking Stage
  • 40. Trajectory scenario in x-y plane for both wingman and leader
  • 41. (Boeing KC 767 Tanker – Boom configuration) versus (KC-130J Tanker with Hose – Drogue configuration) (case study)
  • 48.  Final ConclusionFinal Conclusion  It is clear from the present work that there is some basic requirements should be satisfied inIt is clear from the present work that there is some basic requirements should be satisfied in order to establish efficient aerial refueling autopilots such as (1- flying qualities requirements, 2-order to establish efficient aerial refueling autopilots such as (1- flying qualities requirements, 2- safety and secured approaching in the final docking, 3- minimization the whole mission timesafety and secured approaching in the final docking, 3- minimization the whole mission time period) which implies that a multistage autopilot is needed for this purpose. Therefore LQRperiod) which implies that a multistage autopilot is needed for this purpose. Therefore LQR technique was used to satisfy the flying qualities, providing control integration with fuzzy logictechnique was used to satisfy the flying qualities, providing control integration with fuzzy logic controller that enhance the output performance index. Applying an optimal trajectory during thecontroller that enhance the output performance index. Applying an optimal trajectory during the tracking stage had a great effect in minimizing the total mission time. Using flight formationtracking stage had a great effect in minimizing the total mission time. Using flight formation principle in last stage (alignment stage) had satisfied the required tanker geometrical constrainsprinciple in last stage (alignment stage) had satisfied the required tanker geometrical constrains mentioned before. Thus a multistage autopilot could be realized in such described sequencementioned before. Thus a multistage autopilot could be realized in such described sequence verifying the safety and security with minimizing the mission time interval that permit severalverifying the safety and security with minimizing the mission time interval that permit several aircrafts to be refueled in such an optimum time period. In this way it is possible to avoid anyaircrafts to be refueled in such an optimum time period. In this way it is possible to avoid any mishaps from the pilots during manual process.mishaps from the pilots during manual process.  Recommended Future WorkRecommended Future Work  It is recommended to apply the final multistage autopilot for a several aircrafts or a completeIt is recommended to apply the final multistage autopilot for a several aircrafts or a complete squadron to optimize the air refueling process time for a number of aircrafts so that decreasesquadron to optimize the air refueling process time for a number of aircrafts so that decrease the time required for the tanker aircraft to stay in the air especially in the operations time.the time required for the tanker aircraft to stay in the air especially in the operations time. Consequently reducing the time needed for the fighter aircrafts to be refueled thus decreasingConsequently reducing the time needed for the fighter aircrafts to be refueled thus decreasing the time to be exposed to any aggressors. This will require also different guidance lawsthe time to be exposed to any aggressors. This will require also different guidance laws according to the aircraft position with central controller installed in the tanker aircraft.according to the aircraft position with central controller installed in the tanker aircraft.