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오늘 본 자료
Air Pollution Reduction Based on Intelligent Nonlinear Control Methodology
Yaser Barmayeh,Mehran Afshar,Mohammad Sadegh Dahideh,Mohammad Najafi,Ali Reza Zarei 보안공학연구지원센터 2015 International Journal of Hybrid Information Techno Vol.8 No.1
This paper expands a Multi Input Multi Output (MIMO) fuzzy baseline control (FBC) which controller coefficient is off-line tuned by gradient descent algorithm. The main goal is to adjust the optimal value for fuel ratio (FR) in motor engine. The fuzzy inference system in proposed methodology is works based on Mamdani-Lyapunov fuzzy inference system (FIS). To reduce dependence on the gain updating factor coefficients of the fuzzy methodology, PID baseline method is introduced. This new method provides an optimal setting for other factors which created by PID baseline method. The gradient descent methodology is off-line tune all coefficients of baseline fuzzy based on mathematical optimization methodology. Simulation results signify good performance of fuel ratio in presence of different torque load and external disturbance.
Intelligent Mechatronic Model Reference Theory for Robot End-effector Control
Mohammad sadegh Dahideh,Mohammad Najafi,AliReza Zarei,Yaser Barmayeh,Mehran Afshar 보안공학연구지원센터(IJUNESST) 2015 International Journal of u- and e- Service, Scienc Vol.8 No.1
The control problem for manipulators is to determine the joint inputs required to case the end-effector execute the commanded motion. The nonminimum phase characteristic of a rigid manipulator makes the design of stable controller that ensures stringent tracking requirements a highly nontrivial and challenging problem. A useful controller in the computed torque family is the gravity controller. To compensate the dynamic parameters, fuzzy logic methodology is used and applied parallel to this method. When the arm is at rest, the only nonzero terms in the dynamic is the gravity. Proposed method can cancels the effects of the terms of gravity. In this case inorder to decrease the error and satteling time, higher gain controller is design and applied to nonlinear system.
Internal Combustion Engine Control Based on CFM Strategy
Ali Reza Zarei,Mohammad Sadegh Dahideh,Mohammad Najafi,Mehran Afshar,Yaser Barmayeh 보안공학연구지원센터 2015 International Journal of Hybrid Information Techno Vol.8 No.2
Internal combustion (IC) engines are optimized to meet exhaust emission requirements with the best fuel economy. The mean-value engine model can be used to validate control strategies for different types of controllers that are model-based. The equations that are used to calculate the outputs of the model are approximated over an engine cycle. A significant advantage of the mean-value engine model is its low computational throughput which makes it possible for real-time simulation. In order to reduce engine emissions and improving engine fuel economy, closed loop combustion control, which requires cycleto-cycle combustion measurement such as cylinder pressure, is a necessity. The addition of a cylinder pressure signal to a mean value engine model will allow for developing closed loop combustion control strategies (or other strategies that involve cylinder pressure) to be validated. This is because the cylinder pressure model can produce a cylinder pressure signal for a complete engine operational map and a mean value engine model can produce real world engine parameters and conditions. The performance of the baseline computed fuel controller is compared with that of a baseline proportional, integral, and derivative (PID) controller.