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Ma'Moun Abu-Ayyad

Ma'Moun Abu-Ayyad
Pennsylvania State University-Harrisburg · Mechanical Engineering

Professor

About

58
Publications
39,844
Reads
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188
Citations
Citations since 2016
19 Research Items
94 Citations
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Introduction
Ma'moun Abu-Ayyad currently works at the Department of Mechanical and Nuclear Engineering, Pennsylvania State University. Ma'moun does research in Mechanical Engineering. Their current project is 'Proportional Integral Control Approach for Controlling the Temperatures of Multi-Steel Cylinders Barrel in an Injection Molding Machine'.
Additional affiliations
June 2014 - present
Pennsylvania State University, Capital College, Harrisburg
Position
  • Professor (Associate)
August 2008 - May 2014
Pennsylvania State University,Capital College, Harrisburg
Position
  • Professor (Assistant)
Education
October 1995 - April 1998
Jordan University of Science and Technology
Field of study
  • Mechanical Engineering

Publications

Publications (58)
Conference Paper
Full-text available
In industry, many processes are nonlinear, multivariable and cannot be modeled and controlled adequately using linear models. The nonlinearities in these applications involve discontinuities (such as stiction), hysteresis, variable dead zone and other plant parameters which can be functions of the manipulated variable. These nonlinear characteristi...
Conference Paper
Full-text available
Preclinical studies have shown that non-contact induction heating can be a useful tool to eradicate biofilm infections[1-4]. Exposure to alternating magnetic field (AMF) induces eddy currents in the metal implants and causes the implant to heat up. One concern regarding this method is the heating of the bone which could cause tissue necrosis. Early...
Conference Paper
Full-text available
Each year, the number of orthopaedic implant-related procedures in the U.S. rises, as does implant associated infections. Current standard treatments rely on a two-stage revision arthroplasty which involves surgery to remove the implant, followed by antibiotics to eradicate the bacteria. While this approach has a high cure rate, it involves a highl...
Conference Paper
Full-text available
Engineering design problems are intricate in nature and require not only skills that involve interdisciplinary education but also knowledge across disciplines. To promote and encourage multidisciplinary projects, the School of Science, Engineering, and Technology at Penn State Harrisburg has developed a model that facilitates the formation of teams...
Article
Full-text available
This research utilized 100% recycled HDPE as a powder coat on mild steel (used as a simulated automotive chassis). The recycled HDPE as a powder form was applied to mild steel using electrostatic powder coating equipment. The coated steel was characterized, and the corrosion property was determined by immersion in NaCl, and H2SO4 solutions. Scannin...
Poster
Full-text available
An approach for controlling the injection speed is developed using a new form of predictive control termed extended predictive control (EPC). The major contribution of EPC is that only one tuning parameter is used in a simple and effective way to tune the process closed-loop response. The main features of EPC are practically illustrated on controll...
Presentation
Full-text available
Extended predictive control approach for SISO linear systems
Presentation
Full-text available
Linear Model Structures Consider the linear model shown below, where H(q) and G(q) are pulse transfer functions. The disturbance v(k) is sometimes seen as filtered white noise ε(k): v(k) = H(q) ε(k) For different shapes of the pulse transfer functions G(q) and H(q) we have, • ARX model • ARMAX model • Output error model • General polynomial model S...
Presentation
Full-text available
The basic algorithm of generalized predictive control
Conference Paper
Full-text available
This research utilized 100% recycled HDPE as a powder coat on mild steel. The recycled HDPE as a powder form was applied to mild steel using electrostatic powder coating equipment. Scanning Electron Microscope (SEM) analysis revealed that the coating was non-porous and on average, 80 μm thick. Corrosion test was performed in a 5% NaCl salt solution...
Conference Paper
Full-text available
Recent changes to the general criteria will become effective for ABET reviews conducted in the 2019-2020 cycle. It is, therefore, important that engineering programs become aware of the changes and start revising their assessment plans to ensure a smooth transition. In addition to having a continuous improvement process that closes the loop and pro...
Conference Paper
Full-text available
Boiler systems have many factors that affect the efficiency of the air conditioning process. A traditional control system is complicated and requires physical hardware and software programming. The modern operator console is more compact and works better. Regardless of the boiler system, the operator can run it automatically, allowing changes in ma...
Conference Paper
Full-text available
Both high corrosion costs and an overabundance of plastic waste have significant global impacts. This research seeks to help in both areas by utilizing recycled plastic as an anticorrosive coating. Many plastic-based coatings, especially those developed in more recent years, already contain recycled content. This research, which utilizes 100% recyc...
Conference Paper
Full-text available
The newly developed airplanes are using composite laminates to replace the metal alloys for different components, such as the fuselage and the wings. The major advantage of the composite materials is to reduce structural weight which results in reducing the fuel consumption. The aim of this project is to investigate the structural integrity of an a...
Conference Paper
Full-text available
Process control is a crucial part of many industrial processes. Since many machines provide outputs that are unpredictable or do not meet the exact needs, a controller can help to refine the output to what is needed. For this research, PI controllers were developed for controlling the speed of a DC Servo Motor and for controlling temperature of a c...
Patent
A computer implemented method of conducting closed-loop control of a physical system comprising the steps of carrying out an initialization of the physical system to commencing closed-loop control, evaluating the optimal constrained control move using the system error and the initial normalized matrix using a control move solver; calculating a firs...
Conference Paper
Full-text available
This paper presents a novel algorithm of an infinite model predictive controller for controlling nonlinear multi-input multi-output (MIMO) processes. The new strategy uses a set of continuous nonlinear functions that captures the nonlinear characteristics of the MIMO plant over a wide operating range resulting in a more accurate prediction of the c...
Conference Paper
Full-text available
This work presents a three dimensional prototype of the surface model to demonstrate the working of the controller. The three dimensional surface model is a prototype of the Injection Molding Machine (IMM), wherein the temperature of the system needs to be gradually increased to a very high temperature to melt plastics uniformly, despite the non-li...
Poster
Full-text available
The Quanser SERV02 Rotary Base Servo Unit Lab is a control system lab that allows students to: • Obtain the transfer function of the servo • develop feedback control system • design a PI controller • Design a lead compensator to regulate speed Theory Software Hardware
Article
Full-text available
This paper proposes an improved self-tuning sliding mode control for nonlinear uncertain systems. The proposed approach is based on the principle of approximating the gradient of cost-to-go using the dynamics of the sliding variable and a modified error. Validity of the proposed control design is established through Lyapunov analysis. The effective...
Article
Full-text available
Flexible Polyurethane (PU) foam samples with different densities and chemical formulations were tested in quasi-static stress-strain compression tests. The compression tests were performed using the Lloyd LR5K Plus instrument at fixed compression strain rate of 0.033 s-1 and samples were compressed up to 70% compression strains. All foam samples we...
Conference Paper
Full-text available
The use of evolutionary optimization techniques such as genetic algorithms, differential evolution, swarm optimization and genetic programming to solve the inverse problem of parameter estimation for nonlinear chaotic systems has been gaining popularity in recent years. The efficacy of such evolutionary schemes depends on the definition of a suitab...
Conference Paper
Full-text available
The objective of this work is to illustrate a comparative investigation into the signatures of crack initiation and propagation using vibration and displacement signals. Experimental tests were performed on low carbon steel specimen under fully reversed bending cycles in a cantilever support configuration. Accelerometer and displacement-sensor vibr...
Article
Full-text available
This paper presents a unique method for developing a thermal transient three dimensional (3D) finite element model (FEA) with semi-square amplitude heat flux input signals. The amount of the heat flux is associated with the required temperature needed for melting the plastics inside the barrel cylinders of the injection molding machine. The FEA ana...
Conference Paper
Full-text available
Injection velocity control in plastic injection molding is challenging as this process is inherently nonlinear, requiring an adaptive control strategy for good tracking of complex velocity trajectories. In this paper, a surface based model approach is developed tracking complex trajectories of injection velocity. This technique employs a 3-dimensio...
Article
Full-text available
A unique approach of modeling the mold’s unique approach of modeling the mold’s unique approach of modeling the mold’s unique approach of modeling the mold’s unique approach of modeling the mold’s unique approach of modeling the mold’s unique approach of modeling the mold’s unique approach of modeling the mold’s unique approach of modeling the mold...
Article
Full-text available
In this study, a Wiener-type neural network (WNN) is derived for identification and control of single-input and single-output (SISO) nonlinear systems. The nonlinear system is identified by the WNN, which consists of a linear dynamic block in cascade with a nonlinear static gain. The Lipschitz criteria for model order determination and back propaga...
Conference Paper
Full-text available
This paper presents a unique approach for integrating a finite element analysis (FEA) model using a dynamic explicit of Abaqus with a nonlinear process of the mold’s open/close phase in an injection molding machine. This opening/closing phase is considered to have one of the highest impacts on reducing an overall cycle duration since it has no impa...
Conference Paper
Full-text available
This paper presents a unique method for improving the performance of the generalized predictive control (GPC) algorithm for controlling nonlinear systems. This method is termed adaptive generalized predictive control which uses a multi-dimensional surface of the nonlinear plant to recalculate the controller parameters every sampling instant. This r...
Article
Full-text available
This paper presents a unique approach for designing a nonlinear regression model-based predictive controller (NRPC) for single-input-single-output (SISO) and multi-input-multi-output (MIMO) processes that are common in industrial applications. The innovation of this strategy is that the controller structure allows nonlinear open-loop modeling to be...
Conference Paper
Full-text available
This paper presents the implementation of the fundamental concept of the infinite modeling methodology to the generalized predictive control (GPC) algorithm. This method was termed as infinite modeling generalized predictive control (IMGPC) which uses the nonlinear characteristics of the process such as the process gain and time constant to recalcu...
Article
Full-text available
In this work, a unique approach for designing a nonlinear regression model-based predictive controller (NRPC) for controlling the injection speed of 150 tonne injection molding machine. The innovation of this strategy is that the controller structure allows nonlinear open-loop modeling to be conducted while closed-loop control is executed every sam...
Conference Paper
Full-text available
This paper proposes an improved self-tuning sliding mode control for nonlinear uncertain systems. The proposed approach works on the principle of approximating the gradient of cost-to-go and a modi…ed error.Validity of the proposed control design is established through Lyapunov analysis and an example.
Article
Full-text available
This paper presents an application of most recent developed predictive control algorithm an infinite model predictive control (IMPC) to other advanced control schemes. The IMPC strategy was derived for systems with different degrees of nonlinearity on the process gain and time constant. Also, it was shown that IMPC structure uses nonlinear open-loo...
Conference Paper
Full-text available
The objective of this work is to develop a new tuning strategy for multivariable predictive control. A natural concern is the problem of ill-conditionality in controlling multi-input multi-output (MIMO) systems. The main advantage of the proposed method is that it has a simple and effective tuning strategy that results in a well-conditioned system...
Conference Paper
Full-text available
Many model predictive control (MPC) algorithms have been proposed in the literature depending on the conditionality of the system matrix and the choice of its cost-function. This paper presents the newer MPC schemes such as extended predictive control (EPC) and shifted MPC as well as other well known forms. The control performances of these control...
Conference Paper
Full-text available
The objective of this work is to demonstrate a generic methodology of using multi-models to develop advanced control strategies. The multi-model strategy was implemented on several advanced schemes such as Smith-Predictor using PI, Dahlin controller and generalized predictive control (GPC). Computer simulations and experimental work were conducted...
Conference Paper
Full-text available
In this work, a nonlinear Proportional-Integral (NPI) controller is presented for controlling the injection speed of a 150 tonne injection molding machine. The delayed feedback was compensated by using a Smith Predictor which obtains the future state of the output for control. The process gain and time constant vary during closed-loop control becau...
Article
Full-text available
Many investigations have emphasized the importance of cavity pressure in determining final part quality in an injection molding machine. During the injection cycle, the main factor affecting cavity pressure is the screw hydraulic pressure valve Y3. Cavity pressure has some nonlinear characteristics, thus an advanced control strategy is developed. E...
Article
Full-text available
Many model predictive control (MPC) algorithms have been proposed in the literature depending on the conditionality of the system matrix and the choice of its cost-function. This paper presents the newer MPC schemes such as extended predictive control (EPC) and shifted MPC as well as other well known forms. The control performance of these controll...
Conference Paper
Full-text available
Model predictive control (MPC) has been widely accepted by an academia and industry [1, 2]. Early use of MPC to control a fluid catalytic cracker in 1979 [3] resulted in many more investigations on this topic by a large number of researchers [1, 2, 4]. Many tuning strategies for single-input single-output (SISO) systems have been proposed in the...
Article
Full-text available
Many tuning strategies for model predictive control algorithms have been proposed in the literature depending on the conditionality of the system matrix and the choice of its cost function. In this paper, the properties of a new predictive controller termed extended predictive control (EPC) are investigated and presented. These properties are impor...
Article
Full-text available
This chapter proposes the algorithm of extended predictive control (EPC) for a speed control system that represents an exact method for removing the ill-conditioning in a system matrix by developing a unique weighting structure for any control horizon. The tuning strategy presented in the chapter is significant because it overcomes an interrelated...
Article
Full-text available
An approach for controlling the injection speed is developed using a new form of predictive control termed extended predictive control (EPC). EPC is a practical scheme that can be implemented on a wide range of industrial processes. The major contribution of EPC is that only one tuning parameter is used in a simple and effective way to tune the pro...
Article
Full-text available
This chapter presents a new control strategy that can be applied to control a wide range of processes such as servo valve control circuits requiring high speed in power plant systems. The general predictive control law is based on the solution of a quadratic cost function, which is formulated as a least-squares problem with weighting factors on the...
Article
Full-text available
The objective of this work is to develop a new tuning strategy for multivariable extended predictive control (EPC). A natural concern is the problem of ill conditionality in controlling multi-input multi-output (MIMO) systems. The main advantage of EPC is that it has a simple and effective tuning strategy that results in a well-conditioned system w...
Article
Full-text available
The proposed algorithm of extended predictive control (EPC) represents an exact method for removing the ill-conditioning in the system matrix by developing a unique weighting structure for any control horizon. The main feature of the EPC algorithm is that it uses the condition number of the system matrix to evaluate a single tuning parameter that p...
Conference Paper
Full-text available
The proposed algorithm of extended predictive control (EPC) represents an exact method for removing the ill-conditioning in the system matrix by developing a unique weighting structure for any control horizon. The main feature of EPC algorithm is that it uses the condition number (CN) of the system matrix to evaluate a single tuning parameter that...
Conference Paper
Full-text available
This chapter presents a new control strategy that can be applied to control a wide range of processes such as servo valve control circuits requiring high speed in power plant systems. The general predictive control law is based on the solution of a quadratic cost function, which is formulated as a least-squares problem with weighting factors on the...
Presentation
Full-text available
Industrial Processes’ Requirements! IMM, Robots, Motor Speed/Position Control, CNC Machining, Aerospace. Effective Tuning Strategy is Needed No limitations, Fast response, No overlapping, Robust
Article
Full-text available
A new predictive controller is developed that represents a significant change from conventional model predictive control. The method termed extended predictive control (EPC) uses one tuning parameter, the condition number of the system matrix to provide an easy-to-follow tuning procedure. EPC drastically improves the system matrix conditionality re...
Article
Full-text available
A new predictive controller is developed that represents a significant change from conventional model predictive control (MPC). The method termed extended predictive control (EPC) uses one tuning parameter, the condition number (CN) of the system matrix to provide a easy-to-follow tuning procedure. The control performance of EPC is compared with th...
Article
Full-text available
The proposed algorithm of extended predictive control (EPC) represents an exact method for removing the ill-conditioning in the system matrix by developing a unique weighting structure for any control horizon. The main feature of EPC algorithm is that it uses the condition number (CN) of the system matrix to evaluate a single tuning parameter that...
Article
Full-text available
Numerical solutions are presented for steady two-dimensional symmetric flow past a parabolic cylinder embedded in porous media. For this study, the full Navier–Stokes equations (combined with the Brinkman–Forchheimer-extended Darcy model) and energy equation in parabolic coordinates were solved. A second order accurate finite difference scheme on a...

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Projects (18)
Project
Share innovative research with researchers and increase citations to your articles and readers. This is a suitable platform for discussions to improve the level of innovation and practicality of the articles Shine more in the field of science and knowledge by sharing your articles in the form of this project
Project
1-Sharing & recommending publications. 2-Connecting with colleagues. 3-Seeking new collaborations. 4-Obtaining statistics and metrics on use of uploaded publications. 5-Asking questions of researchers around the world that have the same set of interests. 6-Job seeking or recruitment. 7- Journal Invitations (Editorial Board, Reviewer) 8- Call for papers 9- International Conferences
Project
Psychological support is very necessary for people with coronavirus because it is important in raising the immunity of the injured and there is much research on this topic.