Shaaban Ali Salman Ali

Transcription

1 Professional Appointments Shaaban Ali Salman Ali Senior lecturer, Electro Mechanical Engineering Technology Department Abu Dhabi Polytechnic, Abu Dhabi, UAE, from Oct Current -Teaching the following course: Instrumentation and Control Strength of Material Schematic and Engineering Diagrams - Students advisor and coordinator. Senior lecturer, Autonomous Engineering Technology Department Abu Dhabi Polytechnic, Abu Dhabi, UAE, from August 2014 Oct Teaching the following course: Flight Dynamics and Control UAV workmanship Aircraft weight and Balance Introduction to Aviation Instrumentation and Control - Students advisor and coordinator. Mechanical Design Engineer, Electro Optics Systems (EOS), Fire Control Systems (Military Division), Australia, from 2012 August Research and Development designs for military gimbals. - Use Pro-E wildfire as primary design tool. - Produce geometric toleranced drawings for manufacture. - ANSYS 14.2 primary FEA tool used for analysis. - Design Jigs and fixtures for verification and testing. - Technical troubleshooting of systems. - Provide onsite diagnostics and rectification of gimbals as required. Assistant Professor, Mechanical Engineering Department, Assiut University, Egypt ( ). I taught the following undergraduate courses: - Automatic Control for 3rd year Mechatronics Engineering. - Automatic Control in Mechanical Systems for 4th year Mechanical Engineering. - Dynamic Modeling and Simulations 3rd year Mechatronics Engineering. - Mechatronics Engineering Laboratories for 3rd and 4th year Mechatronics Engineering. I have been the principle supervisor for the following Graduation Projects: - Automatic Control of X- Y table (2009/2010). - Autonomous Vacuum Cleaner for Disable people (2009/2010). - 3 axis Autonomous CNC Machine (2009/2010). - Motion and Noise Control of Baby Cot (2009/2010).

2 Adjunct Research Fellow, University of Southern Queensland, Australia, (2010-Current) Ph.D student, Australian Defence Force Academy, Australia ( ). Ph.D Thesis: Intelligent Adaptive Control for Non Linear Applications, Unmanned Aerial Vehicles. - In my Ph.D project intelligent controllers for fixed wing Unmanned Aircraft vehicles (UAV) were designed. The thesis deals with the design and implementation of an Intelligent Adaptive Flight Control technique for Unmanned Aerial Vehicles (UAVs). - I taught and demonstrated the following courses and Labs at Australian Defence Force Academy, University of new South Wales, Australia: - Flight Dynamics and Control - Thermofluids - Viberations - Stress Analysis Lecturer, School of Mechanical Engineering, University of Assiut, Assiut, Egypt ( ): - During this period I taught the following courses: - Automatic Control for 4th year mechanical engineering students. - Fluid Mechanics for 2nd year mechanical engineering students. - Engineering Analysis for 2nd year mechanical engineering students. - Engineering Drawing for preparatory year engineering students. - Instrumentation and Control for 3rd year mechanical engineering students. Research Assistant, School of Mechanical Engineering, University of Assiut, Assiut, Egypt ( ). - During this period I taught the following courses: - Automatic Control for 4th year mechanical engineering students. - Fluid Mechanics for 2nd year mechanical engineering students. - Engineering Analysis for 2nd year mechanical engineering students. - Engineering Drawing for preparatory year engineering students. - Instrumentation and Control for 3rd year mechanical engineering students. MAJOR PROJECTS WORKED ON: Electro Optics Systems (Fire control systems Pty) Project I- Stabilized weapon gimbal (dual Weapon Mount) Existing Product In Production - Provided redesign of underdesign parts. - Provide FEA analysis using ANSYS - Design Jigs and fixtures for Assembly and design verification Project H- Stabilized Weapon Sight Gimbal (New Product-Prototype/Production) - Provide Designs for gimbals using Pro-Engineer WF2

3 - Windchill Data management - Tolerance calculations - Design Drawings - FEA analysis for critical components - Assisted with Requirement analysis - Assisted with Design parameter analysis - Assisted with control system feedback using Matlab and simulink Project 443- Upgrade of the R400 Sight Drive - Provide Concept Designs for Sensor Elevation Drive - Tolerance calculations - Design Drawings - FEA analysis for critical components - Assisted with Requirement analysis - Assisted with Design parameter analysis Australian Defence Force Academy, University of New South wales Australian Defence Force Academy Unmanned Aerial Vehicles - Proper instrumentation of the UAV with required sensors and avionics. - To develop identification techniques based on intelligent systems to learn about the behaviour of the UAV under test flight conditions. - Develop a real time Hardware in the Loop (HIL) simulation platform for the validation of identification and control techniques. - To design intelligent controller based on the identification (model based controller) to mimic the action of the pilot. - To validate the identification and control techniques in flight. Education Doctor of Philosophy in Aerospace Engineering ( ) - Institution: School of Aerospace, Civil and Mechanical Engineering, Australian Defence Force Academy UNSW@ADFA, University of New South Wales, Australia. - Thesis: Indirect Adaptive Control of Non Linear Applications, Unmanned Aerial Vehicles. - Supervisor: Dr. A. G. Sreenatha, School of ACME, UNSW@ADFA agsrenat@adfa.edu.au Phone: Fax : Master of Science in Mechanical Engineering ( ) - Institution: School of Mechanical Engineering. University of Assiut, Assiut, Egypt. -Thesis: Fuzzy Control of Fire Tube Boilers - Supervisor: Prof. Ahmed Abo-Ismail, Vice president of Academic Affairs, Egypt Japan University of Science and Technology (E-Just), Alexandria, Egypt.

4 B.Sc. (1st class honors) in Mechanical Engineering ( ) - Institution: School of Mechanical Engineering. University of Assiut, Assiut, Egypt. - Grades: First position in overall five years of approx. 83% marks (with Honors). -Thesis : Automatic Control of SCARA Robot. Prizes and Awards - The Australian Society for Defence Engineering prize 2: for the most outstanding thesis in the field of Defence Engineering, Dec The T. F. C. Lawrence Prize: for the significant and excellent contribution in the field of aeronautical science funded by Australian Aeronautical society, Dec The winners of the Poster Competition in Research Day, Australian Defense Force Academy, Professor Ramadan Sadeq prize: for the 2 nd year Mechanical Engineering student who has got the excellent grade. - Professor Mahmoud Hassan Saadawi prize: for the 3 rd year Mechanical Engineering student who has got the excellent grade. Scholarships International Postgraduate Research Scholarship, funded by the Department of Education, Science and Training (DEST) and UNSW, Australia ( ). University College (UNSW@ADFA) Postgraduate Research Scholarship Top-Up, funded by UNSW@ADFA, Australia ( ). Postgraduate Research Student Travel Support (PRSS), funded by UNSW, Postgraduate Research School, Australia. The winners of the Poster Competition in Research Day ADFA Excellent Scholarship, School of Mechanical Engineering, University of Assiut, Assiut, Egypt (1994, 1995, 1996). Programming Skills Extensive experience with Matlab/Simulink and xpc target toolbox. Extensive Experience with Pro Engineer CAD program. Extensive Experience with ANSYS. Experience in C programming. Experience with LabView. Experience in ProDESKTOP and AUTCAD. Publications 1) Shaaban A. Salman and Abdel Badie Sharkawy Application of ANFIS Modeling for a 2-Link Robot Manipulator, 1st International Workshop on Mechatronics Education, March 8th -10th 2015, Taif, Saudi Arabia. 2) Hassan, O, Salman, S. A., Sreenatha, AG & Ray, T., ANFN Controller Based On Differential Evolution for Autonomous Underwater Vehicles, First International Conference on Innovative Engineering Systems (ICIES), IEEE, Alex-Egypt, 7-9 Dec ) Salman, Shaaban A and Anavatti, Sreenatha G. Fuzzy model based control of unmanned aerial vehicle, IFAC Workshop on Embedded Guidance, Navigation and Control in Aerospace, India, ) Abdel Badie Sharkawy and Shaaban A. Salman An Adaptive Fuzzy Sliding Mode Control Scheme for Robotic Systems Intelligent Control and Automation,

5 Vol. 2 No. 4, 2011, pp ) S. A. Salman, Sreenatha A. Anavatti and T. Asokan, Adaptive Fuzzy Control of Unmanned Underwater Vehicles, Indian Journal of Geo-Marine Sciences, IJMS April 2011 (Vol 40, No.2). 6) S. A. Salman and Sreenatha A. Anavatti PID and Fuzzy Control of Unmanned Underwater Vehicles International Conference on Intelligent Unmanned Systems, Bali, Indonesia, Nov 3-5, ) Salman, Shaaban Ali, Sreenatha, Anavatti G., Choi, Jin Young Indirect Adaptive Fuzzy Control of Unmanned Aerial Vehicle, in proceeding of IFAC World Congress, Vol. 17, part. 1 Korea, Seoul ) Abhijit G. Kallapur, Shaaban A. Salman and Sreenatha G. Anavatti, Application of Extended Kalman Filter towards UAV Identification Book Series Studies in Computational Intelligence (Autonomous Robots and Agents issue) by Springer Berlin / Heidelberg, Volume 76, pp , ) S. A. Salman and A. G. Sreenatha, A Novel Inversion Method for a Fuzzy Model Based Controller, IEEE International Conference on Mechatronics and Automation (ICMA), August 2007, Harbin, China. 10) A. G. Sreenatha, S. A. Salman, and J. Y. Choi Fuzzy + PID Controller for Robot Manipulator, IEEE International Conference on Computational Intelligence for Modeling, Control and Automation (CIMCA), pp , 29 Nov - 1 Dec 2006, Sydney, Australia. 11) S. A. Salman, A. G. Sreenatha and J. Y. Choi, Attitude dynamics Identification of Unmanned aircraft vehicle, International Journal of Control, Automation, and Systems (IJCAS), pp , Dec., ) Abhijit G. Kallapur, Shaaban A. Salman and Sreenatha G. Anavatti Experiences using EMId and EKF for UAV Online Identification, The 3 rd International Conference on Autonomous Robots and Agents (ICARA) December Palmerston North, New Zealand 2006 (ICARA 2006). 13) S. A. Salman and A. G. Sreenatha, Nonlinear Identification of Unmanned Aircraft Vehicle, ICGST international Journal of Automatic Control and System Engineering volume (6) (Special Issue on Aero space & satellite control systems), pp. 1-4, March ) S. A. Salman, V. R. Puttige and A. G. Sreenatha, Real-time Validation and Comparison of Fuzzy Identification and State-space Identification for a UAV Platform, IEEE Conference on Control Applications (CCA), pp , October 4-6, 2006, Munich, Germany. 15) S. A. Salman and A. G. Sreenatha, Nonlinear Identification of Unmanned Aircraft Vehicle, Proceeding of the 1 st ICGST International Conference on Automatic Control and System Engineering (ACSE), Dec. 2005, Cairo, Egypt, pp ) S. A. Salman and A. G. Sreenatha Fuzzy Model Based Control of Unmanned Aerial Vehicle, 2009, under review. 17) Salman, S. A, Turk, A. Y., Abdel Hafez, O. M. E. and Abo-Ismail, A.," Modeling and Simulation of Fire Tube Boilers", Journal of Engineering Science, Vol. 30, ) Salman, S. A, Turk, A. Y., Abdel Hafez, O. M. E. and Abo-Ismail, A.," Fuzzy Control of Fire Tube Boilers", IEEE 7 th Conference on Intelligent Engineering Systems, Assiut, Egypt, March, 2003.

6 INTERNATIONAL AND LOCAL CONFERENCE SERVICES Thesis abstract. - IEEE ICMA general Committee member. At School of Aerospace, Civil and Mechanical Engineering, UNSW@ADFA [2004-now] Ph.D Thesis: Intelligent Adaptive Control for Non Linear Applications, Unmanned Aerial Vehicles. In my Ph.D project intelligent controllers for fixed wing Unmanned Aircraft vehicles (UAV) were designed. The thesis deals with the design and implementation of an Intelligent Adaptive Flight Control technique for Unmanned Aerial Vehicles (UAVs). For this, proper instrumentations in terms of sensors and avionics are developed and mounted onboard UAV. These sensors are 3DM-G IMU, pressure sensor, angle of attack and side slip sensor. The interface and integration of these sensors with PC104 microcontroller is carried out. Using the flight data from the remotely flown UAV platforms, state space identification and fuzzy identification are developed to mimic the UAV dynamics. Real time validations using Hardware in Loop (HIL) simulations show that both the methods are feasible for control. A finer comparison showed that the accuracy of identification using fuzzy systems is better than the state space technique. The flight tests with real time online identification confirmed the feasibility of fuzzy identification for intelligent control. Hence two adaptive controllers based on the fuzzy identification are developed. The first adaptive controller is a hybrid indirect adaptive controller that utilises the model sensitivity in addition to output error for adaptation. The feedback of the model sensitivity function to adapt the parameters of the controller is shown to have beneficial effects, both in terms of convergence and accuracy. HIL simulations applied to the control of roll stabilised pitch autopilot for a typical UAV demonstrate the improvements compared to the direct adaptive controller. Next a novel fuzzy model based inversion controller is presented. The analytical approximate inversion proposed in this thesis does not increase the computational effort. The comparisons of this controller with other controller for a benchmark problem are presented using numerical simulations. The results bring out the superiority of this technique over other techniques. The extension of the analytical inversion based controller for multiple input multiple output problem is presented for the design of roll stabilised pitch autopilot for a UAV. Finally, flight test results for angle of attack control of one of the UAV platforms at UNSW@ADFA are presented. The flight test results show that the adaptive controller is capable of controlling the UAV suitably in a real environment, demonstrating its robustness characteristics. The results from this test flight are on the expected lines confirming that the intelligent controller can be used for different autopilots with minor variations. At School of Mechanical Engineering, University of Assiut, Assiut, Egypt [ ] Master Thesis: Fuzzy Control of Fire Tube Boilers. In my master degree I did the modeling for fire tube boiler where the first principles of heat and mass balance have been applied for boilers. The conduction and convection heat transfer have been applied to water/steam content and to the wall of the boiler. A Mathematical model of fire tube boiler has been verified using experimental data. PID LQR and Fuzzy controllers have been applied to fire tube boilers.