Graduate Research Assistant, McGill University
PhD Thesis:
Seamless Dual Brake Transmission (DBT) for EVs: Mechanical Design, Kinematic and Dynamic Analysis, and Control
Seamless Dual Brake Transmission (DBT) for EVs: Mechanical Design, Kinematic and Dynamic Analysis, and Control
In this project, a novel seamless two-speed transmission particularly designed for EVs is proposed. In this system, clutches and torque converters are eliminated, and instead, the transmission is perpetually connected to the powertrain for efficiency and drivability improvements. Further, the hydraulic gear shift actuators are replaced with electromechanical ones in order to improve efficiency and reliability and reduce the weight and volume of the overall system.
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CAD modeling and mechanical design, FEA analysis, and electronics systems (drivers, sensors, and actuators):
Side project 1:
Force Control of the Linear Solenoid Actuator: Modeling and Control
Force Control of the Linear Solenoid Actuator: Modeling and Control
System identification and robust force control of a linear solenoid actuator by D-K synthesis method.
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Side Project 2:
E-Drive prototype based on Ackermann geometry (steer-by-wire, drive-by-wire, brake-by-wire)
E-Drive prototype based on Ackermann geometry (steer-by-wire, drive-by-wire, brake-by-wire)
A new X-by-Wire system based on the Ackermann condition is proposed and the control for its components is studied. A scaled-down 1:6 proof-of-concept model was built and tested.
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Side Project 3:
Estimation of Synchromesh Frictional Torque and Output Torque in a Clutchless Automated Manual Transmission of a Parallel Hybrid Electric Vehicle
Estimation of Synchromesh Frictional Torque and Output Torque in a Clutchless Automated Manual Transmission of a Parallel Hybrid Electric Vehicle
In this project, the estimation of the synchromesh frictional torque and the output torque of the integrated system of an electric motor and a clutchless automated manual transmission (AMT) as part of a two-shaft parallel hybrid electric vehicle powertrain is studied.
Accomplished tasks in this project: - Dynamical modeling of the system using the classical dynamics methods (Newton-Euler) - Design a stochastic observer (Kalman-Bucy filter) to estimate the unmeasured state variables and unknown inputs imparted on the system. Supervisor: Prof. Benoit Boulet In collaboration with: Hossein Vahid Alizadeh |
Graduate Research Assistant, Sharif University of Tech., Tehran, Iran
M.S. Thesis:
Collision avoidance with obstacles in flocking for multi agent systems
Collision avoidance with obstacles in flocking for multi agent systems
Multi-agent systems consist of multiple interacting agents. These systems tend to select the best solution for their problems and they are commonly used in tasks which are hard for an individual or even a complex system to accomplish. One of the most common algorithms which are used in multi-agent systems is flocking. We introduced a new algorithm for flocking and collision avoidance with combination of fixed and moving obstacles.
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Side Project 1:
Design, Implementation and Controller Design for a Brachiation Robot
Design, Implementation and Controller Design for a Brachiation Robot
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Side Project 2:
Design, Implementation and control of an Electronic Suspension System
Design, Implementation and control of an Electronic Suspension System