H. Baris Aykent

Real-Time Control Software Development for 2DOF/3 DOF motion systems

• "Established ready to use high fidelity BEV models using MIL/HIL/DIL to be implemented in VIL integrated to open ECU (electronic control unit) platforms".
• "Increased vehicle model correlations to real vehicle measurements from 60% to 90%".
• - (Whole) Battery Electric Vehicle (BEV) Modeling and Simulation established.
  * Suspensions (Linear/Nonlinear with Hardpoints, K&C) performed:
  + Springs, Dampers, ARB, Bumpstops established.
  * Tires , e-Powertrain, HV Battery Steering (EPS), Brake (Stability Control=ABS+TCS+ESC), RWD/AWD, Brake/Coasting Regen Algorithms, MIL/HIL/DIL system simulation infrastructures established, Control Systems applications performed, System Identification applications performed, Machine Learning Techniques to bridge Real Test Measurements with Model Results performed.

• "Established ready to use high fidelity embedded software control for PLC using Beckhoff TwinCAT to be implemented in ACU (antenna control unit) platforms".
  "Increased dynamic model correlations to real system dynamics measurements to 99.0%".
• "Decreased tracking latency from 0.75 degrees RMS to 0.02 degrees RMS".
• Leading a team of 4 engineers as well as actively intervening fine-tuning sessions by own developed system identification and control techniques to realize kinematics, dynamics testing and development for 2.4 m, and 7.3 m X-Y pedestal (2DOF : degrees of freedom) Cassegrain reflector type antennas design
• Also pursued command and control using PID, low pass filtered PID, MPC algorithms to compare satellite tracking performances
• Managed data acquisition and machine learning techniques
• Real time 2 DOF X-Y pedestal Cassegrain reflector type antennas testing to finally evaluate results with respect to reducers' and servo motors' position, velocity, torque and trajectory data whilst operating prototype X-Y pedestal antenna using machine learning algorithms such as ANNs, linear regression and SVM algorithms
• Data management with speeds ranging from 1 to 2 Gigabit/s and GBs of data using R, Matlab, Python related libraries Numpy,Scipy,Pandas,Scikit-Learn,PyTorch, etc
• Performed diagnostic and troubleshooting procedures to find and identify root causes of mechanical issues
• Eureka and EU projects' leader
• Eureka project evaluator & reviewer, Eureka, BELGIUM 2018

• Leading a team of 4 engineers as well as actively intervening the fine-tuning sessions by own developed algorithms
• Real time vehicle dynamics/engine simulation- Driving simulators, driving simulation: Data acquisition in real time from ECU (electronic control unit) and HIL (hardware in loop) to finally evaluate the results with respect to the vehicle behaviours whilst driving the prototype vehicles using machine learning algorithms such as genetic algorithms, ANNs, linear regression and SVM algorithms
• Data management with speeds ranging from 1 to 4 Gigabit/s and GBs of data using R, Matlab, Python related libraries Numpy,Scipy,Pandas,Scikit-Learn,PyTorch, etc
• Vehicle dynamics control (modeling and simulation) : Karsan vehicle development (http://en.karsan.com.tr)
• H2020 project leader in the company.

• Real time driving simulator development tests (vehicle behaviour): Data acquisition in real time from ECU and HIL to finally evaluate the results with respect to the vehicle behaviours whilst driving the simulator (DIL : driver in loop) using machine learning algorithms such as fuzzy logic, genetic algorithms, ANNs, linear regression and SVM algorithms
• Data management with speeds ranging from 1 to 7 Gigabit/s and GBs of data using R, Matlab, Python related libraries Numpy,Scipy,Pandas,Scikit-Learn,PyTorch, etc
• Developed software with MATLAB/Simulink, C++ for vehicle dynamics and motion cueing algorithms
• Completed analysis of vehicle dynamics, dynamic driving simulator and driver in the loop systems (ergonomic evaluation; head movement: via Xsens, neuromuscular dynamic EMG: via Biopac, eye tracking: via SMI, postural stability: via Technoconcept)

• Real time driving simulator development tests (vehicle behaviours): Data acquisition in real time from ECU and HIL to finally evaluate the results with respect to the vehicle behaviours whilst driving the driving simulator (DIL : driver in the loop) using machine learning algorithms such as fuzzy logic, ANNs, linear regression and SVM algorithms
• Data management with speeds ranging from 1 to 3 Gigabit/s and GBs of data using R, Matlab, Python related libraries Numpy,Scipy,Pandas,Scikit-Learn,PyTorch, etc
• Worked as R&D engineer at project "Einfluss der Fahrdynamikregelung auf die Sicherheit von N1-Fahrzeugen bei unterschiedlichen Beladungszuständen" (The project in English: “Effect of an Electronic Stability Control on the Safety of N1 Vehicles (LCV) at different Loading Conditions”)
• Developed software with MATLAB/Simulink, C++ for vehicle dynamics and motion cueing algorithms
• Implemented the determined data in the model based driving simulation software CarSim RT in real-time.
• Conducted engineering and detailed experimental tests to collect design data and assist in research work
• Performed validation and testing of engineering models to support adequacy and reformulated models
• Supported quantitative work with data sets
• Analyzed and calibrated equipment, established conditions and prepared reports
• Identified improvement opportunities and directed strategies for site implementation
• Worked with associated technology and software applications to manipulate and synthesize data for research projects
• Created lab bench mixes and scale-ups for pilot lab trials
• Generated engineering and technical documentation to facilitate product development collaboration

• Modeled and simulated a ground vehicle's rollover stability and its control
• Optimized the vehicle dynamics behaviours, Realized vehicle dynamics control for a sport utility vehicle (SUV)
• Developed software with MATLAB/Simulink
• Used MS Office for documentation
• MSc completion
• Created spreadsheets using Microsoft Excel for daily, weekly and monthly reporting