Mohammad Mansoorzadeh

Work place: Industrial Electrical and Electronic Engineering SanatkadeheSabze Pasargad. CO (S.S.P. Co), NO:16, PO.Code 71347-66773, Fourth floor, Dena Apr, Seven Tir Ave, Shiraz, Iran



Research Interests: Computational Science and Engineering, Computational Engineering, Computer systems and computational processes


Mohammad Mansoorzadeh is an electrical and electronic researcher of research and development company SSP. Co. He is an expert electronic and computer engineer in this company. His research activities deal with the IC engine control, artificial intelligence and expert system.

Author Articles
Design Novel Model Reference Artificial Intelligence Based Methodology to Optimized Fuel Ratio in IC Engine

By Farzin Piltan Marzieh kamgari Saeed Zare Fatemeh ShahryarZadeh Mohammad Mansoorzadeh

DOI:, Pub. Date: 8 Aug. 2013

In this research, model reference fuzzy based control is presented as robust controls for IC engine. The objective of the study is to design controls for IC engines without the knowledge of the boundary of uncertainties and dynamic information by using fuzzy model reference PD plus mass of air while improve the robustness of the PD plus mass of air control. A PD plus mass of air provides for eliminate the mass of air and ultimate accuracy in the presence of the bounded disturbance/uncertainties, although this methods also causes some oscillation. The fuzzy PD plus mass of air is proposed as a solution to the problems crated by unstability. This method has a good performance in presence of uncertainty.

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Robust Fuzzy PD Method with Parallel Computed Fuel Ratio Estimation Applied to Automotive Engine

By Farzin Piltan Fatemeh ShahryarZadeh Mohammad Mansoorzadeh Marzieh kamgari Saeed Zare

DOI:, Pub. Date: 8 Jul. 2013

Both fuzzy logic and computed fuel ratio can compensate the steady-state error of proportional-derivative (PD) method. This paper presents parallel computed fuel ratio compensation for fuzzy plus PID control management with application to internal combustion (IC) engine. The asymptotic stability of fuzzy plus PID control methodology with first-order computed fuel ratio estimation in the parallel structure is proven. For the parallel structure, the finite time convergence with a super-twisting second-order sliding-mode is guaranteed.

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Supervised Optimization of Fuel Ratio in IC Engine Based on Design Baseline Computed Fuel Methodology

By Farzin Piltan Saeed Zare Fatemeh ShahryarZadeh Mohammad Mansoorzadeh Marzieh kamgari

DOI:, Pub. Date: 8 Mar. 2013

Internal combustion (IC) engines are optimized to meet exhaust emission requirements with the best fuel economy. Closed loop combustion control is a key technology that is used to optimize the engine combustion process to achieve this goal. In order to conduct research in the area of closed loop combustion control, a control oriented cycle-to-cycle engine model, containing engine combustion information for each individual engine cycle as a function of engine crank angle, is a necessity. In this research, the IC engine is modeled according to fuel ratio, which is represented by the mass of air. In this research, a multi-input-multi-output baseline computed fuel control scheme is used to simultaneously control the mass flow rate of both port fuel injection (PFI) and direct injection (DI) systems to regulate the fuel ratio of PFI to DI to desired levels. The control target is to maintain the fuel ratio at stoichiometry and the fuel ratio to a desired value between zero and one. The performance of the baseline computed fuel controller is compared with that of a baseline proportional, integral, and derivative (PID) controller.

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