SEPEHR RAMEZANI
Education
2019–2023
Ph.D. of Biomedical Science Engineering; University of Central Florida, Orlando, Florida , U.S.
2011– 2014
M.Sc. of Mechanical Engineering; Amirkabir University of Technology, Tehran, Iran.
2007–2011
Bachelor of Mechanical Engineering; University of Mazandaran (Babol Noshirvani University of Technology), Mazandaran, Iran.
Ph.D. Dissertation
Worked on simulation of human musculoskeletal model using OpenSim. To achieve human model there are a lot of parameters including muscle-Tendon geometries or physiological parameters needs to be measured from subject body. However, some of these parameters are impossible to measure noninvasively. In this study I tried to estimate muscle’s parameter related to generating passive force base on the optimal control algorithm.
2- Designed and developed robotic prosthetic for lower-limb body using hydraulic pneumatic hybrid system: Passive ankle prosthetic foots uses carbon fiber blade to restore and return energy. However, they are optimally design for certain behavior such as walking or running or other behavior. To have generic prosthesis which could work in different dynamic, it is required to have adjustable stiffness. I employed pneumatic-hydraulic system to make variable stiffness and control time of energy returning.
2- Designed and developed robotic prosthetic for lower-limb body using hydraulic pneumatic hybrid system: Passive ankle prosthetic foots uses carbon fiber blade to restore and return energy. However, they are optimally design for certain behavior such as walking or running or other behavior. To have generic prosthesis which could work in different dynamic, it is required to have adjustable stiffness. I employed pneumatic-hydraulic system to make variable stiffness and control time of energy returning.
Master Thesis
Title: Design and Implementation of a Servo-Pneumatic System Using a Controller-Observer Scheme.
Score: 20/20
Supervisors: Professor Seyyed Mehdi Rezaei [1], Dr. Mohammad Zareinejad [2]
Description: Pneumatic systems are used in a wide range of industrial robotic and automation systems due to their interesting properties. But several nonlinear factors such as air compressibility, leakage and friction make the control of pneumatic systems complex task. Model-based robust control strategies are appropriate candidates for pneumatic systems. A good way to deal with the measurement problem is to use observers to reconstruct the missing states which define as velocity and pressure signals in pneumatic systems. In this thesis, new approach is introduced to reach precise position tracking with low steady error. Main characteristic of proposed controller-observer is that system just need position signal as reference error and other state are observed.
Score: 20/20
Supervisors: Professor Seyyed Mehdi Rezaei [1], Dr. Mohammad Zareinejad [2]
Description: Pneumatic systems are used in a wide range of industrial robotic and automation systems due to their interesting properties. But several nonlinear factors such as air compressibility, leakage and friction make the control of pneumatic systems complex task. Model-based robust control strategies are appropriate candidates for pneumatic systems. A good way to deal with the measurement problem is to use observers to reconstruct the missing states which define as velocity and pressure signals in pneumatic systems. In this thesis, new approach is introduced to reach precise position tracking with low steady error. Main characteristic of proposed controller-observer is that system just need position signal as reference error and other state are observed.
Notable Coursework
Master Degree:
- Neural Network
- Adaptive Control
- Electrophysical Process
- Nonlinear Control
- Advance Mathematics
- Fuzzy Systems
- Modern Control
- Robust Control
- Application of Pneumatic and hydraulic (Course and Lab)
- CAD/CAM (Course and Lab)
- CNC (Course and lab)
- Application of Electricity and Electronic (Course and Lab)
- Thermodynamic (Course and Lab)
- Vibration
- Dynamic
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