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    Trajectory planning of mobile robots using indirect solution of optimal control method in generalized point-to-point task

    , Article Frontiers of Mechanical Engineering ; Volume 7, Issue 1 , 2012 , Pages 23-28 ; 20950233 (ISSN) Nazemizadeh, M ; Rahimi, H. N ; Amini Khoiy, K ; Sharif University of Technology
    Abstract
    This paper presents an optimal control strategy for optimal trajectory planning of mobile robots by considering nonlinear dynamic model and nonholonomic constraints of the system. The nonholonomic constraints of the system are introduced by a nonintegrable set of differential equations which represent kinematic restriction on the motion. The Lagrange's principle is employed to derive the nonlinear equations of the system. Then, the optimal path planning of the mobile robot is formulated as an optimal control problem. To set up the problem, the nonlinear equations of the system are assumed as constraints, and a minimum energy objective function is defined. To solve the problem, an indirect... 

    Optimization of Dose-Planning in Electrochemical Treatment of Tumors

    , M.Sc. Thesis Sharif University of Technology Niroumand Shirazi, Maryam (Author) ; Pishvaie, Mahmoud Reza (Supervisor)
    Abstract
    In this thesis, a model of electrochemical treatment of tumor is simulated by numerical method. The orthogonal collocation method is used for numerical solution. The model is solved in two situations, one in the absence of chemical reaction (water hydrolysis) and the other when chemical reaction is occurring in the electrolyte. In transient mode, it is possible to solve the model in low level currents (about 20 A/m2) by few number of collocation points (about 15 points) and only in a single domain. However, by increasing current, it is necessary to use more points in domain especially in the first 10% of the domain (very close to the electrode) where the maximum rate of diffusion/migration... 

    Design, dynamic analysis and optimization of a Rover for rescue operations

    , Article Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ; Volume 4020 LNAI , 2006 , Pages 290-300 ; 03029743 (ISSN); 9783540354376 (ISBN) Tavakoli Nia, H ; Alemohammad, S. H ; Bagheri, S ; Khiabani', R. H ; Meghdari, A ; Sharif University of Technology
    Springer Verlag  2006
    Abstract
    In this paper a new approach to dynamic optimization of a rough terrain rover is introduced. Since rover wheels traction has a significant role in rover mobility, optimization is based on the minimization of traction at rover wheel-ground interfaces. The method of optimization chosen is Genetic Algorithm (GA) which is a directed random search technique along with the usual optimization based on directional derivatives. GA is a suitable and efficient method of optimization for nonlinear problems. The procedure is applied on a specific rough terrain rover called CEDRA-I Shrimp Rover. The present work resulted in design and manufacturing of the optimized rover called CEDRA-II Shrimp Rover. ©... 

    Multiple Model Predictive Control of Methyl Methacrylate/Vinyl Acetate Synthesis Reactor

    , M.Sc. Thesis Sharif University of Technology Naderi Boldaji, Sara (Author) ; Pishvaie, Mahmoud Reza (Supervisor)
    Abstract
    The purpose of this study is the implementation of multi-model predictive control (MMPC) approach for the co-polymerization system of methyl methacrylate - vinyl acetate. Simpler development of local models and controllers and also convenience of understanding the model and controller structure are the main reasons for using this approach. In the first step, RGA analysis has been used for pairing input and output variables. Then the performance of PI controller on the system has been investigated. For designing model predictive controller (MPC) the nonlinear model has been linearized at operational point and the controller has been designed in MPC toolbox of MATLAB software R2013a. In the... 

    Kinematic Optimization of The Dual-Arm Cam-Lock Robot

    , Ph.D. Dissertation Sharif University of Technology Ghaemi Osgouie, Kambiz (Author) ; Meghdari, Ali (Supervisor) ; Sohrabpour, Saeed (Supervisor)
    Abstract
    The dual-arm cam-lock robot is a reconfigurable and adaptive robotic arm. The novel design of this robot allows it to manipulate the objects either by cooperation of two completely independent arms, or with locking proper links in each other and featuring the advantages of a parallel manipulator. Depending on the position of the cam-locked links, the robot may lose a few degrees of freedom and gain a different dynamic condition from the view point of the consumed energy, stiffness, dexterity, and etc. So the best configuration of the robot can be selected to perform the desired task, considering all possible configurations of the robot. In this dissertation, formulation and implementation of... 

    Optimal Control of Electrochemical Treatment of Tumors

    , M.Sc. Thesis Sharif University of Technology Hosseini, Soroush (Author) ; Pishvaie, Mahmoud Reza (Supervisor)
    Abstract
    In this project, we have assessed the electrochemical treatment method. In this method, pH decrease of the place where a tumor is located engenders the necrosis of cancer cells and consequently they are destroyed. The process of pH decrease is caused by exerting voltage on electrods that are located near the tumor. The aims of optimizing this methods are to minimize the pH that results in the increase of cancer cell annihilation and to minimize the HClO and Cl2 products which are toxic and chage the healthy tissues to cancer cells. In this project, the model of electrochemical treatment method is explained, and then this model is simulated using the parametes which are provided in the... 

    Online velocity optimization of robotic swarm flocking using particle swarm optimization (PSO) method

    , Article 2009 6th International Symposium on Mechatronics and its Applications ; 2009, Article number 5164776 , 2009 , p. 5164776- ; ISBN: 978-142443481-7 Vatankhah, R ; Etemadi, S ; Honarvar, M ; Alasty, A ; Boroushaki, M ; Vossoughi, G ; Sharif University of Technology
    Abstract
    In this paper, the agent velocity in robotic swarm was determined by using particle swarm optimization (PSO) to maximize the robotic swarm coordination velocity. A swarm as supposed here is homogenous and includes at least two members. Motion and behavior of swarm members are mostly result of two different phenomena: interactive mutual forces and influence of the agent. Interactive mutual forces comprise both attraction and repulsion. To be more realistic the field of the swarm members' view is not infinity. So influence of the coordinator agent on the robotic swarm would be local. The objective here is to guide the robotic swarm with maximum possible velocity. According to equation motion... 

    A new hybrid approach for dynamic continuous optimization problems

    , Article Applied Soft Computing Journal ; Volume 12, Issue 3 , 2012 , Pages 1158-1167 ; 15684946 (ISSN) Karimi, J ; Nobahari, H ; Pourtakdoust, S. H ; Sharif University of Technology
    2012
    Abstract
    A new hybrid approach for dynamic optimization problems with continuous search spaces is presented. The proposed approach hybridizes efficient features of the particle swarm optimization in tracking dynamic changes with a new evolutionary procedure. In the proposed dynamic hybrid PSO (DHPSO) algorithm, the swarm size is varied in a self-regulatory manner. Inspired from the microbial life, the particles can reproduce infants and the old ones die. The infants are especially reproduced by high potential particles and located near the local optimum points, using the quadratic interpolation method. The algorithm is adapted to perform in continuous search spaces, utilizing continuous movement of... 

    Developing a Framework for Reliability Studies of Distribution Energy System Comprised of Multi Energy Hubs with Heat Storages

    , M.Sc. Thesis Sharif University of Technology Qasemi, Milad (Author) ; Moeini Aghtaie, Moein (Supervisor)
    Abstract
    Using energy storage systems has been remarkably improved the energy systems efficiency and reliability indicators of the system and also reduced the operating costs of these systems. Thus using them in an energy system would count as an advantage. Lately, the procedure of implementation of these systems has been studied widely and various motives behind implementing them have been reviewed. For example, the effect of cost optimization in electrical vehicles on reliability indicators from the load management perspective can be addressed. Therefore this thesis has studied the effect of electrical and thermal storage systems on the reliability indicators of an energy hub and the effect of... 

    Development of Simulation Model and Optimal Design of Water and Energy Recirculation System in Residential Towers

    , M.Sc. Thesis Sharif University of Technology Javadinia, Maryam (Author) ; Saboohi, Yadollah (Supervisor) ; Fathi, Amir Hossein (Supervisor)
    Abstract
    nowadays, due to population growth, unconventional use of water resources and on the other hand, climate change, limited renewable water resources, reduction of groundwater cavities, the need for water for agricultural use and energy production are increasing. Due to the fact that each cubic meter of dirty water pollutes 40 to 60 cubic meters of clean water and the entry of polluted effluent into the receiving sources of environmental degradation leads to a lot of wastewater treatment, water consumption management and The development of wastewater treatment processes is also becoming increasingly important. At present, wastewater treatment plants face the challenges of high energy... 

    Experimental analysis of a Ranque-Hilsch vortex tube for optimizing nozzle numbers and diameter

    , Article Applied Thermal Engineering ; Volume 61, Issue 2 , 2013 , Pages 500-506 ; 13594311 (ISSN) Mohammadi, S ; Farhadi, F ; Sharif University of Technology
    2013
    Abstract
    A brass vortex tube with changeable parts is used to obtain the optimum nozzle intake numbers and diameter. The effects of inlet pressure and CF (cold fraction) are also investigated. Results illustrate that increasing the number of nozzles causes a temperature drop and the optimum nozzle diameter corresponds to quarter of vortex tube diameter. The distance between cold end orifice and nozzle intakes is investigated in this work and it is found that for a better performance, this distance should be decreased. A series of experiments conducted to investigate the CF effect on VT performance and an optimum amount for this parameter is found. A two-dimensional computational fluid dynamics... 

    Blade shape optimization of marine propeller via genetic algorithm for efficiency improvement

    , Article Proceedings of the ASME Turbo Expo ; Volume 5 , 2012 , Pages 235-242 ; 9780791844717 (ISBN) Taheri, R ; Mazaheri, K ; Sharif University of Technology
    2012
    Abstract
    In this paper, a numerical optimization method has been carried out to optimize the shape and efficiency of a propeller. For analysis of the hydrodynamic performance parameters, an extended vortex lattice method was used by implementing an open-source code which is called OpenProp. The method of optimization is a non-gradient based algorithm. After a trade-off between a few gradient-based and non-gradient based algorithms, it is found that the problem of being trapped in local optimum solutions can be easily solved by choosing nongradient based ones. Hence, modified Genetic algorithm is used to implement the so-called hydrodynamic performance analyzer code. The objective function is to... 

    A real-time algorithm for variable-objective motion planning over terrain and threats

    , Article Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering ; Volume 229, Issue 6 , 2015 , Pages 1043-1056 ; 09544100 (ISSN) Karimi, J ; Pourtakdoust, S. H ; Sharif University of Technology
    SAGE Publications Ltd  2015
    Abstract
    A major issue required to enhance the autonomy level of unmanned vehicles is real-time motion planning. In this context, optimal trajectories need to be generated online considering the vehicle's dynamic potentials and constraints. However, autonomous air vehicles often need to plan and execute their missions with varying objectives that may even be dictated in flight. Therefore, the current study introduces and focuses on the new concept of variable-objective motion planning. In this regard, a new dynamic multi-objective heuristic optimization algorithm is developed for path and motion planning of autonomous air vehicles in presence of deterministic terrain obstacles as well as random... 

    A heuristic predictive LOS guidance law based on trajectory learning, ant colony optimization and tabu search

    , Article Proceedings - 6th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2016, 25 November 2016 through 27 November 2016 ; 2017 , Pages 163-168 ; 9781509011780 (ISBN) Nobahari, H ; Haeri, A ; Sharif University of Technology
    Abstract
    A heuristic predictive line-of-sight (LOS) guidance law is introduced to intercept a high-speed maneuvering target. A combination of continuous ant colony system and tabu search optimization algorithms is proposed to generate the optimal predictive commands of LOS guidance law. Prediction is driven by the previous positions of the target to estimate the next positions of it. Thus, the guidance system is continually solving a dynamic optimization problem in order to determine the acceleration commands by minimizing a cost function subject to actuators saturation. This innovation distinguishes the proposed guidance law from the classic LOS guidance, described by a simple relation between the... 

    Online velocity optimization of robotic swarm flocking using particle swarm optimization (PSO) method

    , Article 2009 6th International Symposium on Mechatronics and its Applications, ISMA 2009, Sharjah, 23 March 2009 through 26 March 2009 ; 2009 ; 9781424434817 (ISBN) Vatankhah, R ; Etemadi, S ; Honarvar, M ; Alasty, A ; Boroushaki, M ; Vossoughi, G. R ; Sharif University of Technology
    2009
    Abstract
    In this paper, the agent velocity in robotic swarm was determined by using particle swarm optimization (PSO) to maximize the robotic swarm coordination velocity. A swarm as supposed here is homogenous and includes at least two members. Motion and behavior of swarm members are mostly result of two different phenomena: interactive mutual forces and influence of the agent. Interactive mutual forces comprise both attraction and repulsion. To be more realistic the field of the swarm members' view is not infinity. So influence of the coordinator agent on the robotic swarm would be local. The objective here is to guide the robotic swarm with maximum possible velocity. According to equation motion... 

    Optimization of the electric arc furnace process

    , Article IEEE Transactions on Industrial Electronics ; Volume 66, Issue 10 , 2019 , Pages 8030-8039 ; 02780046 (ISSN) Saboohi, Y ; Fathi, A ; Skrjanc, I ; Logar, V ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2019
    Abstract
    This paper presents an electric arc furnace (EAF) optimization framework intended to define optimal control profiles for the EAF, in order to increase its efficiency and thus reduce the energy consumption. The framework aims to minimize controllable losses and to maximize energy transfer to the bath and, consequently, minimize the operational costs. This is achieved through improved actuation of the EAF inputs, i.e., transformer power, oxygen lancing, and carbon addition. To achieve maximal energy transfer to the bath and to reduce the heat losses from the arcs, proper properties of the slag, such as foaminess and basicity, are a subject of considerable attention. The framework is designed... 

    Digital Twin of Methanol Production Plant as Water-energy Nexus Optimization Problem

    , M.Sc. Thesis Sharif University of Technology Toliati, Hamid Reza (Author) ; Bozorgmehry Buzarjomehri, Ramin (Supervisor)
    Abstract
    The development of computers and their related software packages provided engineers with the ability to simulate complex chemical processes. These simulations were the stepping stone for in-depth knowledge of the processes and also a prerequisite for the chemical process optimizations. From then, realistic simulation and optimization were always a primary concern for chemical engineers. To address this concern, they go beyond the one-dimensional design approach toward the two-dimensional design-operation systems, and the design-control interaction of the chemical processes afterward. Moreover, optimizing chemical processes from the aspect of energy and water, separately, gained lots of... 

    Dynamic optimization of water flood reservoirs with the variational approach

    , Article Petroleum Science and Technology ; Vol. 32, issue. 3 , Dec , 2013 , p. 289-296 ; ISSN: 10916466 Kashkooli ,S. B ; Masihi, M ; Pishvaei, M. R ; Sharif University of Technology
    Abstract
    Optimization of any production operation is a tool for increasing production rates and reducing production costs. Water flooding is one of the techniques that frequently be used to increase oil recovery after primary depletion. A methodology for optimizing the production by using the net present value of a heterogeneous reservoir under water flooding has been presented, which is based on controlling the bottomhole pressures of the production wells, using smart well technology. For this purpose, a numerical flow simulator is coupled with an optimization program. The technique was implemented on a synthetic two dimensional oil reservoir with heterogeneous permeability. This optimization... 

    Iterative method for frequency updating of simple vibrating system

    , Article Journal of Vibroengineering ; Volume 14, Issue 3 , 2012 , Pages 1370-1377 ; 13928716 (ISSN) Tabeshpour, M. R ; Sharif University of Technology
    JVE  2012
    Abstract
    Iterative methods for modification of vibratory characteristics of dynamic systems have attracted a lot of attention as a convenient and more economical way when compared to the traditional and costly structural dynamic optimization processes. Many complicated structures, such as telecommunication towers, chimneys and tall buildings, may be modeled as simple spring-mass systems. This paper presents an iterative method for modification of the frequencies of simple vibrating system consisting of springs and masses. The proposed algorithm may be used to adjust any of the vibration frequencies of a simple vibrating system to the target values within the desired level of accuracy. The method... 

    Simplex filter: A novel heuristic filter for nonlinear systems state estimation

    , Article Applied Soft Computing Journal ; Volume 49 , 2016 , Pages 474-484 ; 15684946 (ISSN) Nobahari, H ; Zandavi, S. M ; Mohammadkarimi, H ; Sharif University of Technology
    Elsevier Ltd  2016
    Abstract
    This paper introduces a new filter for nonlinear systems state estimation. The new filter formulates the state estimation problem as a stochastic dynamic optimization problem and utilizes a new stochastic method based on simplex technique to find and track the best estimation. The vertices of the simplex search the state space dynamically in a similar scheme to the optimization algorithm, known as Nelder-Mead simplex. The parameters of the proposed filter are tuned, using an information visualization technique to identify the optimal region of the parameters space. The visualization is performed using the concept of parallel coordinates. The proposed filter is applied to estimate the state...