scholarly journals Application of Simulink software in vessel design

2021 ◽  
Vol 2021 (1) ◽  
pp. 7-17
Author(s):  
Alexander Sergeevich Bordyug
Keyword(s):  
Diesel Engine ◽  
Coming Out ◽  
Load Capacity ◽  
Pid Controllers ◽  
Feedback Controllers ◽  
Discrete State ◽  
Feed Forward ◽  
Simulink Model ◽  
Calm Water ◽  
Feed Forward Controller

The article considers different types of controllers and regulators used in industry, laboratories and for daily tasks. In practice, the most commonly used controllers are discrete state controllers, PID controllers, fuzzy and neural controllers. The last two use more sophisticated concepts, such as artificial intelligence. Controllers can be divided into feed-forward and feedback controllers. The feed-forward controller works by giving a result based on waiting for the next step, while the feedback controller works to give an observable result that changes the processing value of the later step. PID controllers are very popular in the design of a ship's main power plant. There is considered a schematic diagram of the PID controller. The description of the ship model in the Simulink environment is presented, the specified model of the diesel engine, the mechanical regulator, areas of restrictions of the engine are illustrated. The model of the turbocharger is analyzed in detail. It consists of a turbine resting on the exhaust gases coming out of the cylinders, due to which the compressor starts and compresses the air at the inlet to the cylinders. There is given the equation formed by the ratio of integral to time. In accordance with the original model of the diesel engine Diesel Engine Module, the nominal efficiency is defined. A model of shaft dynamics based on Newton's second law for rotation is considered. The actual Simulink model is illustrated, which introduces transmission losses and saturation associated with the load capacity of the engine. The model uses three designs of propellers. The characteristics of the propellers on the container ship MSC Caitlin, the tanker “Ivan Poddubny” and the ferry “Olympiad” are given. The general model of the propeller is made and resistance of calm water is simulated. The additional model of wave resistance is presented.

Stabilizing and Swinging-Up the Inverted Pendulum Using PI and PID Controllers Based on Reduced Linear Quadratic Regulator Tuned by PSO

2015 ◽  
Vol 4 (4) ◽  
pp. 52-69 ◽  
Author(s):  
M. E. Mousa ◽  
M. A. Ebrahim ◽  
M. A. Moustafa Hassan
Keyword(s):  
Pid Controller ◽  
Inverted Pendulum ◽  
Research Work ◽  
Linear Quadratic Regulator ◽  
Nonlinear Problems ◽  
Pid Controllers ◽  
Linear Quadratic ◽  
Swarm Optimization ◽  
Feed Forward ◽  
Forward Gain

The inherited instabilities in the Inverted Pendulum (IP) system make it one of the most difficult nonlinear problems in the control theory. In this research work, Proportional –Integral and Derivative (PID) Controller with a feed forward gain is used with Reduced Linear Quadratic Regulator (RLQR) for stabilizing the Cart Position and Swinging-up the Pendulum angle. Tuning the Controllers' gains is achieved by using Particle Swarm Optimization (PSO) Technique. Obtaining the combined PID controllers' gains with a feed forward gain and RLQR is a multi-dimensions control problem. The Proposed Controllers give minimum Settling Time, Rise Time, Undershoot and Over shoot for both the Cart Position and the Pendulum angle. A disturbance with different amplitudes is applied to the system, and the results showed the robustness of the systems based on the tuned controllers. The overall results are promising.

Simulation of a Single Cylinder Diesel Engine Under Cold Start Conditions Using Simulink

2000 ◽  
Vol 123 (1) ◽  
pp. 117-124 ◽  
Author(s):  
H.-Q. Liu ◽  
N. G. Chalhoub ◽  
N. Henein
Keyword(s):  
Diesel Engine ◽  
Direct Injection ◽  
Cold Start ◽  
Operating Conditions ◽  
Combustion Model ◽  
Nonlinear Dynamic Model ◽  
Single Cylinder ◽  
Engine Model ◽  
Simulink Model ◽  
Engine Components

A nonlinear dynamic model is developed in this study to simulate the overall performance of a naturally aspirated, single cylinder, four-stroke, direct injection diesel engine under cold start and fully warmed-up conditions. The model considers the filling and emptying processes of the cylinder, blowby, intake, and exhaust manifolds. A single zone combustion model is implemented and the heat transfer in the cylinder, intake, and exhaust manifolds are accounted for. Moreover, the derivations include the dynamics of the crank-slider mechanism and employ an empirical model to estimate the instantaneous frictional losses in different engine components. The formulation is coded in modular form whereby each module, which represents a single process in the engine, is introduced as a single block in an overall Simulink engine model. The numerical accuracy of the Simulink model is verified by comparing its results to those generated by integrating the engine formulation using IMSL stiff integration routines. The engine model is validated by the close match between the predicted and measured cylinder gas pressure and engine instantaneous speed under motoring, steady-state, and transient cold start operating conditions.

scholarly journals A Fas/FasL mediated Feed-forward Controller of T-cell Differentiation Reconciles MIS-C and Discrepant Youth and Adult Covid-19 Severity

2021 ◽  
Author(s):  
Anthony Joseph Leonardi
Keyword(s):  
Cell Differentiation ◽  
T Cell ◽  
T Cell Differentiation ◽  
Forward Model ◽  
Fasl Expression ◽  
Feed Forward ◽  
T Cell Stimulation ◽  
Feed Forward Controller ◽  
Feed Forward Model

Fas expression is quickly upregulated on CD8+ T cells following stimulation, while FasL expression is limited to Tcm and later. A phenomenon of T cell differentiation via paracrine Fas signal has been previously described. Here, we describe such differentiation in a pool fits the Feed-forward model which can correct for disturbances in the system, as seen during in vitro T cell stimulation. This feed-forward controller exerts control via Fas/ FasL expression, and the effect is uncoupled with use of lz-FasL. Interestingly, the feed-forward model provides us with evolutionary insight as to why Fas stimulation becomes apoptotic at terminal differentiation, in order to exhibit a perfect and extinguished control and response.

Fuzzy Controller Without Feed-Forward for the Air System of a Diesel Engine

2006 ◽  
Author(s):  
J. F. Arnold ◽  
G. Tremouliere ◽  
N. Langlois ◽  
H. Chafouk
Keyword(s):  
Diesel Engine ◽  
Internal Model ◽  
Fuzzy Controller ◽  
Intake Manifold ◽  
Feed Forward ◽  
Air System ◽  
New Strategy ◽  
Account Standard ◽  
Intake Manifold Pressure ◽  
System Controller

A new strategy based on a fuzzy multi-variable controller is proposed to regulate both the fresh airflow and the intake manifold pressure. The air system controller requires neither an internal model nor certain feed-forward maps. Taking only into account standard engine measurements, it is intrinsically robust and very easy to tune with respect to strategies proposed in literature. The results obtained with this controller are compared to those of current embedded controllers.

A Simple Analog Feed-Forward Controller Design for DC-DC Buck Converter

2015 ◽  
Vol 643 ◽  
pp. 61-67
Author(s):  
Shu Wu ◽  
Yasunori Kobori ◽  
Haruo Kobayashi
Keyword(s):  
Transient Response ◽  
Pulse Width Modulation ◽  
Controller Design ◽  
Buck Converter ◽  
Charge Balance ◽  
Feed Forward ◽  
Feed Forward Control ◽  
Single Output ◽  
Output Capacitor ◽  
Feed Forward Controller

This paper presents usage of analog feed-forward control to improve the transient response of DC-DC buck converters with pulse-width-modulation (PWM). The analog feed-forward controller is simple and does not require complicated calculations. Duty cycle is modulated directly based on the charge balance of the output capacitor. Compared with conventional feedback control, this simple feed-forward controller reduces control delay and provides a satisfactory transient response. We apply this technique to a Single-Inductor-Dual-Output (SIDO) buck converter as well as a Single-Inductor-Single-Output (SISO) buck converter, and show that its cross-regulation is improved. We have validated the proposed method with SIMetrix simulations.

Dynamic Control of Curve-Constrained Hyper-Redundant Manipulators

2004 ◽  
Vol 16 (1) ◽  
pp. 1-7 ◽  
Author(s):  
Shugen Ma ◽  
◽  
Mitsuru Watanabe ◽  
Keyword(s):  
Degrees Of Freedom ◽  
Dynamic Control ◽  
Redundant Manipulators ◽  
Redundant Manipulator ◽  
Real Time Control ◽  
Feed Forward ◽  
Manipulator Dynamics ◽  
Time Control ◽  
Control Scheme ◽  
Feed Forward Controller

Hyper-redundant manipulators have high number of kinematic degrees of freedom, and possess unconventional features such as the ability to enter narrow spaces while avoiding obstacles. To control these hyper-redundant manipulators accurately, manipulator dynamics should be considered. This is, however, time-comsuming and makes implementation of real-time control difficult. In this paper, we propose a dynamic control scheme for hyper-redundant manipulators, which is based on analysis in defined posture space where three parameters were used to determine the manipulator posture. Manipulator dynamics are modeled on the parameterized form with the parameter of the posture space path. The posture space path-tracking feed-forward controller is then formulated on the basis of a parameterized dynamic equation. Computer simulation, in which a hyper-redundant manipulator traces the posture space path well by using the proposed feed-forward controller, proved that the hyper-redundant manipulator tracks the workspace path accurately.

scholarly journals Feedforward Control of Gear Mesh Vibration Using Piezoelectric Actuators

1994 ◽  
Vol 1 (5) ◽  
pp. 473-484 ◽  
Author(s):  
Gerald T. Montague ◽  
Albert F. Kascak ◽  
Alan Palazzolo ◽  
Daniel Manchala ◽  
Erwin Thomas
Keyword(s):  
Vibration Control ◽  
High Frequency ◽  
Feedforward Control ◽  
Piezoelectric Actuators ◽  
General Linear ◽  
Test Results ◽  
Vibratory System ◽  
Feed Forward ◽  
Gear Mesh ◽  
Feed Forward Controller

This article presents a novel means for suppressing gear mesh related vibrations. The key components in this approach are piezoelectric actuators and a high-frequency, analog feed forward controller. Test results are presented and show up to a 70% reduction in gear mesh acceleration and vibration control up to 4500 Hz. The principle of the approach is explained by an analysis of a harmonically excited, general linear vibratory system.

A Fuzzy Neural Controller Design for Use with a Non-Linear System

1996 ◽  
Vol 210 (2) ◽  
pp. 141-150 ◽  
Author(s):  
Y-M Chen ◽  
K F Gill
Keyword(s):  
Controller Design ◽  
Robot Manipulator ◽  
Feedback Controller ◽  
Feed Forward ◽  
Additional Control ◽  
Fuzzy Neural ◽  
On Line ◽  
Feed Forward Controller ◽  
Non Linear System ◽  
And Control

The control scheme presented utilizes both feed-forward and feedback controller elements. The former of the two elements comprises a neural network with both an identification and control role, and the latter is a fuzzy neural algorithm which is introduced to provide additional control enhancement. The feed-forward controller provides only coarse control, whereas the feedback controller can generate on-line conditional proposition rules automatically to improve the overall control action. To evaluate the performance of the controller, a simulated robot manipulator study was undertaken and the results show how well the proposed controller can minimize the error between an actual and desired end-effector trajectory.

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