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    Speed control of a digital servo system using brain emotional learning based intelligent controller

    , Article PEDSTC 2013 - 4th Annual International Power Electronics, Drive Systems and Technologies Conference ; 2013 , Pages 311-314 ; 9781467344845 (ISBN) Jafari, M ; Shahri, A. M ; Shuraki, S. B ; Sharif University of Technology
    2013
    Abstract
    In this paper, a biologically motivated controller based on a mammalian limbic system called Brain Emotional Learning Based Intelligent Controller (BELBIC) is used for speed control of a Digital Servo System. The proposed controller is applied experimentally to a laboratory Digital Servo System 1 via MATLAB external mode. Comparing results of the proposed controller with conventional PID controller shows satisfactory performance including faster response and lower overshoot  

    Attitude control of a quadrotor using brain emotional learning based intelligent controller

    , Article 13th Iranian Conference on Fuzzy Systems, IFSC 2013 ; 2013 Jafari, M ; Shahri, A. M ; Shouraki, S. B ; Sharif University of Technology
    IEEE Computer Society  2013
    Abstract
    For the first time in this paper, Brain Emotional Learning Based Intelligent Controller (BELBIC) is applied to attitude control of a Quadrotor. BELBIC controller is designed based on the computational model of emotional learning process in mammalian brain limbic system. Proposed control algorithm is employed because of the learning ability and independency to system model and also satisfactory performances dealing with disturbances and changing in system parameters. Quadrotor is an Unmanned Aerial Vehicle (UAV) which has the capability of Vertical Take-Off and Landing (VTOL). Simulation results of controlling Quadrotor with BELBIC are addressed. Also pitch angle disturbance is applied due to... 

    Emotional learning based intelligent controller for MIMO peripheral milling process

    , Article Journal of Applied and Computational Mechanics ; Volume 6, Issue 3 , 2020 , Pages 480-492 Bahari Kordabad, A ; Boroushaki, M ; Sharif University of Technology
    Shahid Chamran University of Ahvaz  2020
    Abstract
    During the milling process, one of the most important factors in reducing tool life expectancy and quality of workpiece is the chattering phenomenon due to self-excitation. The milling process is considered as a MIMO strongly coupled nonlinear plant with time delay terms in cutting forces. We stabilize the plant using two independent Emotional Learning-based Intelligent Controller (ELIC) in parallel. Control inputs are considered as forces Ux and Uy in two directions x and y, which are applied by the piezoelectrics. The ELIC consists of three elements; Critic, TSK controller and the learning element. The results of the ELIC have been compared with a Sliding Mode Controller (SMC). The... 

    Steganography in TeX documents

    , Article Proceedings of 2008 3rd International Conference on Intelligent System and Knowledge Engineering, ISKE 2008, Xiamen, 17 November 2008 through 19 November 2008 ; December , 2008 , Pages 1363-1366 ; 9781424421978 (ISBN) Shirali Shahreza, M ; Shirali Shahreza, S ; Sharif University of Technology
    2008
    Abstract
    Steganography is a method for hidden exchange of information by hiding data in a cover media such as image or sound. Text Steganography is one of the most difficult methods because a text file is not a proper media to hide data in it. In this paper we propose a new text Steganography method. In this method, we hide data in TeX documents. This method hides the data in places where there is a ligature such as "fi". © 2008 IEEE  

    An intelligent nuclear reactor core controller for load following operations, using recurrent neural networks and fuzzy systems

    , Article Annals of Nuclear Energy ; Volume 30, Issue 1 , 2003 , Pages 63-80 ; 03064549 (ISSN) Boroushaki, M ; Ghofrani, M. B ; Lucas, C ; Yazdanpanah, M. J ; Sharif University of Technology
    2003
    Abstract
    In the last decade, the intelligent control community has paid great attention to the topic of intelligent control systems for nuclear plants (core, steam generator). Papers mostly used approximate and simple mathematical SISO (single-input-single-output) model of nuclear plants for testing and/or tuning of the control systems. They also tried to generalize theses models to a real MIMO (multi-input-multi-output) plant, while nuclear plants are typically of complex nonlinear and multivariable nature with high interactions between their state variables and therefore, many of these proposed intelligent control systems are not appropriate for real cases. In this paper, we designed an on-line... 

    Self constructing emotional learning based intelligent controller (SCELIC)

    , Article IMECS 2011 - International MultiConference of Engineers and Computer Scientists 2011, 16 March 2011 through 18 March 2011 ; Volume 1 , March , 2011 , Pages 148-153 ; 9789881821034 (ISBN) Saghir, H. R ; Shouraki, S. B ; Sharif University of Technology
    2011
    Abstract
    The model of emotional masks is a newly developed AI paradigm based on Minsky's model of emotional mind in his recent book "The emotion machine". The model takes a resource management approach toward modeling the mind and views different processes of mind as resources that need to be managed. In the present work an intelligent controller (SCELIC) is developed based on the model of emotional masks. SCELIC is a model free controller which advantages from several learning tasks. Multiple learnings and adaptive structure make it a powerful adaptive and self-learning tool that performs the tasks of system identification and control in parallel. Although the test-bed considered here is a nonlinear... 

    Controlling a Walking Humanoid Robot Using Intelligent Control

    , M.Sc. Thesis Sharif University of Technology Hosseini, Reza (Author) ; Sadati, Hossein (Supervisor)
    Abstract
    Humanoid robots are robots that are similar in appearance and performance to humans. Designing and controlling a humanoid robot to perform such supposedly ordinary tasks as walking, running, writing, talking, driving, riding bikes, and the like is such a difficult task from the control point of view that it seems to be quite ambitious and inaccessible. In this thesis, the previous efforts of scientists and researchers are presented using different intelligent controllers. Additionally, the dynamic analysis of selective biped (seven-link biped robot) is illustrated. In this research, we present a method to control the walking of the biped robot while retaining stability. In this method the... 

    Emotional Control in Machines

    , M.Sc. Thesis Sharif University of Technology Saghir, Hamid Reza (Author) ; Bagheri Shouraki, Saeed (Supervisor)
    Abstract
    Recently, emotions have been widely used in systems that may face uncertainty or unknown situations. Various theories have been put forward for explaining emotions and their roles in mind. The model of emotional masks is a newly developed AI1 paradigm based on Minsky’s model of emotional mind in his recent book “The emotion machine”. This model takes a resource management approach toward modeling the mind and views different processes of mind as resources that need to be managed. The present work leads to the development of an intelligent controller (SCELIC2) that is based on ideas from emotional masks, Self-Organizing Controllers and network-based fuzzy systems. On the way to the... 

    Control of Bifurcation and Chatter Suppression in Peripheral Milling Process

    , M.Sc. Thesis Sharif University of Technology Bahari Kordabad, Arash (Author) ; Moradi, Hamed (Supervisor)
    Abstract
    Self-excitation vibration or chatter in the milling process is one of the most critical factors in reducing the tool life and surface smoothness. With the change of tool speed or depth of cut, bifurcation phenomena occur at some points (bifurcation points) such that the system behaviour becomes unstable and the chatter is observed. In this study, using nonlinear modelling for cutting forces, two main methods for active control of this process are proposed. The first is an intelligent control based on emotional learning, which is a model-free strategy. In this method, the critic generates a signal (stress signal) using error and its derivative. The purpose of this controller is to reduce the... 

    Integrated Intelligent Control Design of Azar Oil Field

    , M.Sc. Thesis Sharif University of Technology Jamali, Hamid (Author) ; Ghotbi, Siroos (Supervisor)
    Abstract
    Intelligent control or management of well or reservoir is a method which is used in order to optimize the production for increasing recovery factor so that the minimum damage or reduction of pressure occurs during production lifetime. Azar oilfield has 17 wells and the production from this field isn't started. Thereupon designing a suitable well completion model and a control algorithm to optimize the production for the first two years of production is necessary and indispensable. For this purpose, by collecting basic information and their analysis (for example pressure, temperature, production rate, the type and amount of produced fluids), designing of downhole installations and modeling... 

    Modeling and Intelligent Control of Heart Assist Device

    , M.Sc. Thesis Sharif University of Technology Takhtechian, Parisa (Author) ; Jahed, Mehran (Supervisor)
    Abstract
    Congestive heart Failure (CHF) which occurs when the heart is no longer able to pump the blood sufficiently is a worldwide growing health concern. In the U.S. alone, an estimated 8 million people will be diagnosed with heart failure by 2030.Cardiac transplantation with limitations in donor availability, cannot solely resolve this global health concern. Therefore many patients must use alternative remedies, namely Artificial Heart and Ventricle Assist Device (VAD). The Left Ventricular Assist Device (LVAD) is a mechanical pump that is implanted in patients with congestive heart failure to help the left ventricle in pumping blood to the circulatory system. They are known to... 

    Design of Intelligent Controller to Improve Goal in Emotional Controller Using Fuzzy Concepts

    , M.Sc. Thesis Sharif University of Technology Amiri Tehranizadeh, Mohammad Amin (Author) ; Bagheri Shouraki, Saeed (Supervisor) ; Beigy, Hamid (Supervisor)
    Abstract
    Developing algorithms in engineering and decision making systems based on psychological and biological mechanisms is a promising area of research. The challenging part of any psychological or biological system development is its learning necessity to adapt itself to random incidents, inherent in the environment. Goals, as defined in engineering problems, are the performance functions that continuously evaluate the responses of environment. They have a duty of directing the learning system to the desirable state. If the environment is corrupted by a variety of disturbances that cannot be predicted from the outset, adapting the parameter of learning agent is inevitable. In this work, we... 

    Design & Manufacturing of a Robofish by Results of Experimental Studies of Fsh Hydrodynamics

    , Ph.D. Dissertation Sharif University of Technology Asadian Ghahferokhi, Mohammad (Author) ; Abbaspour Fard Tehrani , Majid (Supervisor)
    Abstract
    Underwater robots have found various applications such as military ones, environmental monitoring, oil pipe exploration and surgeries. Design of highly maneuverable robot fish is mostly based on their propulsion mechanism, anatomy of the base fish, highly controllable fins and high propulsion efficiency.
    In this research, we design a robot fish by using of experimental results on fish hydrodynamics, flow pattern around the model and various mechanisms of the fish.
    In the experimental section, we arranged advanced image processing and optical measurement of DPIV setup in order to reviewing and analyzing movements of two species of fish (trout and Pangasius). The swimming speed of... 

    Intelligent Force Control for Hydraulic Manipulator within the Impedance Control Framework

    , M.Sc. Thesis Sharif University of Technology Alimohammadi, Hossein (Author) ; Khayyat, Amir Ali Akbar (Supervisor)
    Abstract
    The main concept of this thesis is to simulate, develop, and analyze the performance of force control method by applying to a Unimate MK-II hydraulic manipulator. In this investigation, simulation studies are based on the concept of impedance control technique. Position-based formulation of impedance control is employed. First in this research, a PID controller is employed and is shown to be capable of performing position control task precisely despite the fact that inertia, joint stiction, valve deadband and other nonlinearities are presented. Although trajectory tracking is performed well after several investigations, we have concluded that the impedance control cannot perform a desirable... 

    Control of a Bioreactor Using Artificial Intelligent Methods

    , M.Sc. Thesis Sharif University of Technology Shamsi, Zahra (Author) ; Shahrokhi, Mohammad (Supervisor)
    Abstract
    The goal of this project is finding an appropriate method for controlling four different bioreactors with unknown dynamics. At first, an introduction to bioreactor dynamic hase been presented, then their nonlinear behavior has been discussed. In the following, four output control systems using adaptive neural network have been designed separately for four different dynamics. The applied control method has been adapted from a method of references with some changes. Performances of designed controllers in set point tracking, load rejection and model mismatch have been evaluated using simulation. In these studies, input saturation has been considered in simulations but it is not existed in... 

    Flexion and Extension of Spine in Sagittal Plane with Muscles Under the Control of Central Pattern Generators

    , M.Sc. Thesis Sharif University of Technology Seddighi, Alireza (Author) ; Parnianpour, Mohamad (Supervisor) ; Sadati, Nasser (Supervisor) ; Narimani, Roya (Supervisor)
    Abstract
    Low back pain is a widespread disorder in industrialized countries. Based on epidemiological reports, 80% of the population faces this activity limitation at least once in their lifetime which places tremendous human and economic costs to individuals and societies. Handling heavy loads, with fast trunk motions, repetitive movements, and awkward postures are some of the risk factors related to low back injuries. Hence, better understanding of the neuro-musculo-skeletal system performance would help us to recognize various abnormalities in spine behavior and assist us in a way to design the workplace to reduce the risk of injuries. For this purpose, we can use biomechanicals model to... 

    Design, Implementation and Control of A Hexapod Robot Using Reinforcement Learning Approach

    , M.Sc. Thesis Sharif University of Technology Shahriari, Mohammad Ali (Author) ; Khayyat, Amir Ali Akbar (Supervisor)
    Abstract
    Hexapod Robots give us the ability to study walking robots without facing problems such as stability. It has a great deal of exibility in movement even if some legs become malfunctioned or face some diculties. Control of legged robots compared to other kind of locomotions is di- cult and requires fairly heavy on-line computations to be done in real time. Therefore, a machine-learning solution may be more convenient in such prob- lems. One method of machine-learning which is used for legged robots with outstanding potential is Reinforcement Learning (RL). RL is a promising ap- proach for achieving complex robots control in dynamic environments. RL techniques are interesting subjects in... 

    Towards Estimation of Trunk Muscle Forces with a Bio-Inspired Control Strategy of Neuro-Osteoligamentous Finite Element Lumbar Spine Model

    , M.Sc. Thesis Sharif University of Technology Sharifzadeh Kermani, Alireza (Author) ; Arjmand, Navid (Supervisor) ; Vossoughi, Gholamreza (Supervisor) ; Parnianpour, Mohamad (Co-Supervisor)
    Abstract
    Low back pain (LBP), the leading cause of disability worldwide, remains one of the most common and challenging occupational musculoskeletal disorders. The effective assessment of LBP injury risk, and the design of appropriate treatment modalities and rehabilitation protocols, require accurate estimation of the mechanical spinal loads during different activities. This study aimed to: 1) develop a novel 2D beam-column finite element control-based model of the lumbar spine and compare its predictions for muscle forces and spinal loads to those resulting from a geometrically-matched equilibrium-based model; 2) test, using the foregoing control-based finite element model, the validity of the... 

    Design and Implementation of an Intelligent RL-based Controller for the Lower-limb Exoskeleton to Reduce Interaction Torque

    , M.Sc. Thesis Sharif University of Technology Abbasi, Mohammad Reza (Author) ; Vosoughi, Gholamreza (Supervisor) ; Moradi, Hamed (Supervisor)
    Abstract
    Exoskeletons, or wearable robots, are electromechanical devices that have become the focus of academic and industrial research in recent years, and their applications in power augmentation have increased. One of the most important challenges of these applications is controlling the robot and synchronizing it with the user. The close interaction of the robot with the user and the change of movement pattern between different users and different gait cycles show the importance of estimating the user's movement intention, but the need for online method of estimating the movement intention and the complexity of accurate dynamic modeling has caused researchers to use reinforcement learning (RL) in... 

    Operational Planning & Control of Multi-Vector Energy Networks Using Distributed Intelligent Methods

    , M.Sc. Thesis Sharif University of Technology Khani, Arman (Author) ; Bozorgmehry Boozarjomehry, Ramin (Supervisor)
    Abstract
    Multi-vector energy (MVE) networks are one of the most complex systems which are attractive to many researchers. In this work, an integrated gas-power transmission network as an MVE network has been studied. The MVE benchmark used in this work comprises a gas transmission network, which is the core of the MVE, a power transmission network, and a Syn-Gas plant. The gas transmission network supplies the gas demands of its consumers. The main objective of this thesis is to design appropriate controllers to maintain the states of the gas network in its desired condition. Since the gas network is distributed parameter system and its model is an infinite dimensional state space, it is either...