Search for: modeling-and-predictions
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    Control effectiveness investigation of a ducted-fan aerial vehicle using model predictive controller

    , Article International Conference on Advanced Mechatronic Systems, ICAMechS ; 2014 , pp. 532-537 Banazadeh, A ; Emami, S. A ; Sharif University of Technology
    Special attention is given to vertical takeoff and landing air vehicles due to their unique capabilities and versatile missions. The main problem here is control effectiveness at low flight speeds and transition maneuvers because of the inherent instability. RMIT is a small sized tail-sitter ducted fan air vehicle with a particular configuration layout, multiple control surfaces, low weight, and high-speed flight capability. In the current study, a comprehensive nonlinear model is firstly developed for RMIT, followed by a validation process. This model consists of all parts including aerodynamic forces and moments, control surfaces term together with the gravity and driving fan forces.... 

    A cascade multiple-model predictive controller of nonlinear systems by integrating stability and performance

    , Article 27th Iranian Conference on Electrical Engineering, ICEE 2019, 30 April 2019 through 2 May 2019 ; 2019 , Pages 951-955 ; 9781728115085 (ISBN) Rikhtehgar, P ; Ahmadi, M ; Haeri, M ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2019
    To deal with strong nonlinearity in nonlinear systems, a new method called cascade multiple-model predictive controller based on gap metric and stability margin, is proposed. The gap metric is utilized to describe the nonlinear system by a linear model bank. It is possible to select nominal local models from the linear model bank by an algorithm based on the gap metric and stability margin to avoid the redundancy of the local controllers. By scheduling proportional controller for each nominal local model, the robust stability is guaranteed whereas there will be no guarantee for the desired performance. Then, by designing a model predictive controller in the cascade structure, the closed loop... 

    Constrained model predictive control of MMA polymerization reactor based on genetic algorithm optimization

    , Article Proceedings of 2003 IEEE Conference on Control Applications, Istanbul, 23 June 2003 through 25 June 2003 ; Volume 1 , 2003 , Pages 464-469 Rafizadeh, M ; Solgi, R ; Abbaszadeh, M ; Sharif University of Technology
    Control of MMA polymerization batch reactor has intensively investigated. The nonlinear and time varying behavior of the system makes its control a challenging task. MPC algorithm is enjoying an increasing application for control of chemical processes. A sequential linearized model based predictive controller based on the DMC algorithm was designed to control the temperature of a batch MMA polymerization reactor. A genetic algorithm (GA) is suggested to optimize the cost function of DMC. The controller performance was studied via simulation. The controller performance in tracking the profile, noise and disturbances rejection is very good  

    Smooth switching in a scheduled robust model predictive controller

    , Article Journal of Process Control ; Volume 31 , 2015 , Pages 55-63 ; 09591524 (ISSN) Khani, F ; Haeri, M ; Sharif University of Technology
    Elsevier Ltd  2015
    Abstract This paper proposes a bumpless transfer method to overcome the problem of switching jumps in a scheduled robust model predictive control approach. A scheduled robust model predictive controller implements a set of local robust model predictive controllers based on an on-line switching strategy. This method could enlarge the domain of attraction efficiently but the transient response might be hampered by spikes appearing at the moment of switching between adjacent local controllers. The proposed algorithm could enhance the transient response by implementing some intermediate controllers augmented to the main control scheme to solve the problem without needing more computation. The... 

    Predictive tri-linear benchmark curve for in-plane behavior of adobe walls

    , Article International Journal of Architectural Heritage ; Volume 9, Issue 8 , Nov , 2015 , Pages 986-1004 ; 15583058 (ISSN) Rafsanjani, S. H ; Bakhshi, A ; Ghannad, M. A ; Yekrangnia, M ; Soumi, F ; Sharif University of Technology
    Taylor and Francis Inc  2015
    In the present study, numerical simulations are conducted to estimate the in-plane response of adobe walls subjected to pseudo-static cyclic loading based on the finite element code ABAQUS. The simplified micro-modeling approach is adopted and an interface model reported in ABAQUS material library is applied as material model for zero-thickness interface elements. The comparison between obtained results and field test data results in good agreement. Parametric studies are carried out to evaluate the effectiveness of independent parameters changes on response of adobe walls. It is noted that mechanical properties of joints and adobe units play an active role on in-plane behavior of walls. A... 

    Robustness investigation of a ducted-fan aerial vehicle control, using linear, adaptive, and model predictive controllers

    , Article International Journal of Advanced Mechatronic Systems ; Volume 6, Issue 2-3 , 2015 , Pages 108-117 ; 17568412 (ISSN) Emami, S. A ; Banazadeh, A ; Sharif University of Technology
    Inderscience Publishers  2015
    A comparison of three common controllers for stabilising a vertical take-off and landing air vehicle is presented. RMIT is a small sized tail-sitter ducted fan air vehicle with a particular configuration layout, multiple control surfaces, low weight, and high-speed flight capability. The main problem here is control effectiveness at low flight speeds and transition manoeuvres because of the inherent instability. In the current study, a comprehensive nonlinear model is firstly developed for RMIT, followed by a validation process. Subsequently, linear, adaptive and model predictive controllers are designed in vertical flight. Based on the simulation results, it is shown that the linear... 

    A predictive control of a turbocharged diesel engine for exhaust emission mitigation

    , Article 41st Annual Conference of the IEEE Industrial Electronics Society, 9 November 2015 through 12 November 2015 ; 2015 , Pages 4890-4895 ; 9781479917624 (ISBN) Nademi, H ; Tahami, F ; IEEE Industrial Electonics Society (IES)
    Institute of Electrical and Electronics Engineers Inc 
    This paper investigates the control of diesel engines comprising two actuators: exhaust gas recirculation (EGR) valve and variable geometry turbocharger (VGT) to mitigate the exhaust emissions. In contrast to conventional control techniques, multi-model predictive control (MMPC) algorithm is employed for control purposes. With the help of proposed scheme, constraints of the control problem is also considered and nonlinear model to enhance performance is utilized. In doing so, new controller tries to fulfill a compromise between fuel consumption and torque response by regulating air-to-fuel ratio and EGR fraction to decrease pollutants emission especially nitrogen oxides (NOx). The dynamic... 

    Design and implementation of extended predictive functional control for boiler-turbine unit of power plant

    , Article 24th Mediterranean Conference on Control and Automation, 21 June 2016 through 24 June 2016 ; 2016 , Pages 131-134 ; 9781467383455 (ISBN) Amirabadi Farahani, M ; Haeri, M ; MCA ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc 
    In this paper, a new model predictive controller is introduced to control a power unit process with three inputs and three outputs. This method is proposed to reduce the complexity of the required computation. In fact, the presented controller ensures achieving an acceptable performance in the presence of noise and disturbances and reduces the volume of calculations to control a complex and nonlinear boilerturbine process. The simulation results indicate that the implementation of the proposed controller requires less computing time while the performance degradation is not more than five percent  

    Decentralized robust model predictive control for multi-input linear systems

    , Article UKACC 12th International Conference on Control, CONTROL 2018, 5 September 2018 through 7 September 2018 ; 2018 , Pages 13-18 ; 9781538628645 (ISBN) Adelipour, S ; Haeri, M ; Pannocchia, G ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2018
    In this paper, a decentralized model predictive control approach is proposed for discrete linear systems with a high number of inputs and states. The system is decomposed into several interacting subsystems. The interaction among subsystems is modeled as external disturbances. Then, using the concept of robust positively invariant ellipsoids, a robust model predictive control law is obtained for each subsystem solving several linear matrix inequalities. Maintaining the recursive feasibility while considering the attenuation of mutual coupling at each time step and the stability of the overall system are investigated. Moreover, an illustrative simulation example is provided to demonstrate the... 

    Economic Model Predictive Control with Time Varying Constraints

    , M.Sc. Thesis Sharif University of Technology Iman, Sara (Author) ; Haeri, Mohammad (Supervisor)
    In today's world we are dealing with many devices and processes with the goal of efficiency and performance improvement. In many processes particularly chemical ones, the goal is to control the output according to its constraints in the way that the performance is economically efficient, such as reducing energy consumption and energy loss and increasing efficiency. In order to control a process with economical goals, an economical cost function is used and after determination of optimal values a controller is used to guide the process so can achieve them. Model predictive control (MPC) is very common in this economic control Due to advantages such as considering the problem constraints. In... 

    Model Predictive Control for Fast Descending Maneuver of Quadrotor

    , M.Sc. Thesis Sharif University of Technology Nazeri Astanjin, Ahmad (Author) ; Fallah Rajabzadeh, Famida (Supervisor) ; Zohoor, Hassan (Supervisor) ; Nejat Pishkenari, Hossein (Co-Supervisor)
    Quadrotors have limitation in performing fast descending maneuver due to entering a dangerous region in velocity space called Vortex Ring State(VRS) which cause considerable loss of lift that may lead to fall. The purpose of this project is to reduce time of fast descending maneuver without entering VRS region by using model predictive control. First, appropriate nonlinear dynamic model of quadrotor obtained by considering important aerodynamics effect. Then by considering velocity constraints in order to avoid entering the VRS region, a nonlinear model predictive controller(NMPC) has designed. This controller successfully reduce the time of the maneuver up to than ordinary descending.... 

    Distributed model predictive control with hierarchical architecture for communication: application in automated irrigation channels

    , Article International Journal of Control ; Volume 89, Issue 8 , 2016 , Pages 1725-1741 ; 00207179 (ISSN) Farhadi, A ; Khodabandehlou, A ; Sharif University of Technology
    Taylor and Francis Ltd 
    This paper is concerned with a distributed model predictive control (DMPC) method that is based on a distributed optimisation method with two-level architecture for communication. Feasibility (constraints satisfaction by the approximated solution), convergence and optimality of this distributed optimisation method are mathematically proved. For an automated irrigation channel, the satisfactory performance of the proposed DMPC method in attenuation of the undesired upstream transient error propagation and amplification phenomenon is illustrated and compared with the performance of another DMPC method that exploits a single-level architecture for communication. It is illustrated that the DMPC... 

    Model predictive control of blood sugar in patients with type-1 diabetes

    , Article Optimal Control Applications and Methods ; Volume 37, Issue 4 , 2016 , Pages 559-573 ; 01432087 (ISSN) Abedini Najafabadi, H ; Shahrokhi, M ; Sharif University of Technology
    John Wiley and Sons Ltd 
    In this article, two adaptive model predictive controllers (AMPC) are applied to regulate the blood glucose in type 1 diabetic patients. The first controller is constructed based on a linear model, while the second one is designed by using a nonlinear Hammerstein model. The adaptive version of these control schemes is considered to make them more robust against model mismatches and external disturbances. The least squares method with forgetting factor is used to update the model parameters. For simulation study, two well-known mathematical models namely, Puckett and Hovorka which describe the dynamical behavior of patient's body have been selected. The performances and robustness of the... 

    Path-following in model predictive rollover prevention using front steering and braking

    , Article Vehicle System Dynamics ; Volume 55, Issue 1 , 2017 , Pages 121-148 ; 00423114 (ISSN) Ghazali, M ; Durali, M ; Salarieh, H ; Sharif University of Technology
    In this paper vehicle path-following in the presence of rollover risk is investigated. Vehicles with high centre of mass are prone to roll instability. Untripped rollover risk is increased in high centre of gravity vehicles and high-friction road condition. Researches introduce strategies to handle the short-duration rollover condition. In these researches, however, trajectory tracking is affected and not thoroughly investigated. This paper puts stress on tracking error from rollover prevention. A lower level model predictive front steering controller is adopted to deal with rollover and tracking error as a priority sequence. A brake control is included in lower level controller which... 

    Robust fault tolerant explicit model predictive control

    , Article Automatica ; Volume 97 , 2018 , Pages 248-253 ; 00051098 (ISSN) Sheikhbahaei, R ; Alasty, A ; Vossoughi, G ; Sharif University of Technology
    Elsevier Ltd  2018
    In this study, a new algorithm for explicit model predictive control of linear discrete-time systems subject to linear constraints, disturbances, uncertainties, and actuator faults is developed. The algorithm is based on dynamic programming, constraint rearrangement, multi-parametric programming, and a solution combination procedure. First of all, the dynamic programming is used to recast the problem as a multi-stage optimization problem. Afterwards, the constraints are rearranged in an innovative manner to take into account the worst admissible situation of unknown bounded disturbances, uncertainties, and actuator faults. Then, the explicit solution of the reformulated optimization problem... 

    Control of droplet detachment frequency in a GMAW process by a hybrid model predictive control

    , Article Journal of Dynamic Systems, Measurement and Control, Transactions of the ASME ; Volume 140, Issue 11 , 2018 ; 00220434 (ISSN) Sartipizadeh, H ; Haeri, M ; Sharif University of Technology
    American Society of Mechanical Engineers (ASME)  2018
    Efficient control of a gas metal arc welding (GMAW) process enables one to obtain high quality products as a consequence of achieving a high quality weld. Although control of the droplet detachment frequency in the welding process would play a great role in improving the welding quality, measuring this variable is difficult and expensive. In this paper, we attempt to control the frequency of droplet detachments without directly measuring it. To this end, we utilize the hybrid property of the GMAW process to indirectly control the frequency. Specifically, a mixed logical dynamical (MLD) model is obtained by considering the hybrid act of the process during droplet detachment. Then, a nonlinear... 

    Game theory meets distributed model predictive control in vehicle-to-grid systems

    , Article 11th International Conference on Electrical and Electronics Engineering, ELECO 2019, 28 November 2019 through 30 November 2019 ; 2019 , Pages 764-768 ; 9786050112757 (ISBN) Karimi, A ; Haeri, M ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2019
    Electric Vehicles (EVs) will be used rampantly in future transportation system. Although the uncontrolled charging of these EVs will be threatening for the stability of the grid, a compatible energy trading policy may provide beneficial services to the grid as well as preserving the sustainability of the system. In this paper, by taking advantage of block rate tariff, a wholesale pricing policy is introduced. A multi-objective approach is utilized to address the cost reduction and load leveling services concurrently. Due to the high computational complexity of a centralized problem, a game theoretic approach is exerted in order to design decentralized controllers for EVs. Moreover, an MPC... 

    Asteroid precision landing via Probabilistic Multiple-Horizon Multiple-Model Predictive Control

    , Article Acta Astronautica ; Volume 161 , 2019 , Pages 531-541 ; 00945765 (ISSN) AlandiHallaj, M ; Assadian, N ; Sharif University of Technology
    Elsevier Ltd  2019
    This paper seeks to provide a probabilistic control framework, named Probabilistic Multiple-Horizon Multiple-Model Predictive Control, for the soft and precise landing on an asteroid. The modified version of the Predictive Path Planning method is also introduced to generate a safe and smooth reference trajectory for landing. The Probabilistic Multiple-Horizon Multiple-Model Predictive Control is carried out in two phases; the offline phase to calculate the difference between models, and the online phase to use a probabilistic approach to track the reference trajectory. The difference of the dynamical models is utilized in the online control method to compensate the accuracy of the... 

    Designing a hierarchical model-predictive controller for tracking an unknown ground moving target using a 6-DOF quad-rotor

    , Article International Journal of Dynamics and Control ; September , 2020 Khankalantary, S ; Badri, P ; Mohammadkhani, H ; Sharif University of Technology
    Springer Science and Business Media Deutschland GmbH  2020
    In this paper, a hierarchical predictive controller is designed in order to solve the tracking problem of a moving ground target by a quad-rotor in an unknown and uneven environment. This controller has internal and external predictive controller levels. In the lower layer of the controller, a constrained predictive controller is designed that is capable of rejecting perturbations and quickly tracking the reference path, and in the outer loop, a model predictive controller is designed to optimally detect the moving ground target where, the sub-cost functions were defined so that the quad-rotor would be able to track the moving ground target even if it was temporarily out of sight of the... 

    An extended dynamic matrix control design for quasi-resonant converters

    , Article 2008 IEEE 2nd International Power and Energy Conference, PECon 2008, Johor Baharu, 1 December 2008 through 3 December 2008 ; January , 2008 , Pages 1147-1151 ; 9781424424054 (ISBN) Tahami, F ; Ebad, M ; Sharif University of Technology
    The Extended dynamic matrix control (EDMC) has been proved to extend the existing version of the linear model predictive control to control nonlinear systems. In this method, the control input is determined based on the linear model approximation of the system that is updated during each sampling interval. In this paper, by using this method, a new control scheme for quasi-resonant converters is described. This control offers an excellent transient response and a good tracking. © 2008 IEEE