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![Figure 4. Fuel system from an aircraft view, [3]](profile/Ademayowa-Ishola/publication/323960549/figure/fig2/AS:611794934587392@1522874687249/Fuel-system-from-an-aircraft-view-3_Q320.jpg)
Engineering applications of control systems has been in the forefront of technological advancement and
development of mechanically automated machines as well as complex interconnected systems. In the aerospace industry, the
adoption and integration of control system for fuel system of an aircraft which is a complex series of interconnected devices...
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span lang="EN-US">Recently, Re-boost seven-level inverter has been developed as an alternative between Photovoltaic system and single-phase load. DC level is increased using a re-boost regulator and its output is rehabilitated into single-phase AC utilizing a seven-level inverter. The re-boost converter is utilized to escalate the voltage gain. The...
The paper analyzes the main steam temperature of the boiler with multi-model switching control based on the PID control system. According to the calculation result of the multi-model switching index, when the boiler load changes, the switcher will switch the controlled object of the boiler to the closest corresponding control model under the typica...
The mathematical modeling of two degrees of freedom robot arm (2-DOF) is developed and presented in this paper. The model is based on a set of nonlinear second-order ordinary differential equations and to simulate the dynamic accurately lagrangian and Euler-Lagrange equations were successfully derived and established. The control algorithm is expan...
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... As the center of gravity (CG) moves toward front, the aircraft becomes more and more dynamically stable. 1,2 Elements of typical aircraft are shown in Figure 1. 3 When correctly configured and implemented, an aviation aircraft control system promotes the security of all passengers and crew members. In today's military, commercial, and general aircraft, high-performance aircrafts are needed. ...
This paper presents the design of an artificial neural network (ANN) and proportional integral derivative (PID) controller using particle swarm optimization (PSO) for Boeing 747‐400 aircraft pitch control (APC). The combinations of disturbance, open loop unstable and nonlinear dynamics are major problems in a Boeing 747‐400 commercial aircraft. This paper investigates the control mechanism of pitch angle control of Boeing 747‐400 with small disturbance theory linearization methods and ANN based non‐linear controllers. A PID controller is tuned by PSO, whereas the PID is tuned by graphical user interface (GUI) when compared with an ANN controller. The controller for this system was designed using an ANN controller and PID tuned using a recent optimization technique such as the PSO method with integral square error (ISE) as an objective function. A comparative study of the time domain performances of the pitch control of the Boeing 747‐400 commercial aircraft was presented. The ANN controller outperformed the PID‐PSO and PID‐GUI controllers in terms of system performance, including rising time (tr), settling time (ts), percentage overshoot (percent OS), and steady state error, across various elevator deflection angles. Basically, the percentage overshoot and steady state error were 0% and 0 respectively, indicating that the ANN controller achieved an improvement of 100%. Various parameters were compared with the PID‐GUI, PID‐PSO, and ANN controllers for pitch control of the Boeing 747‐400 air craft. The ANN controller architecture comprises of two input neurons, two hidden layer neurons, and one output layer neuron. The simulation was performed using Matlab/Simulink. The results show that the PID‐PSO controller was improved by the ANN controller and the performance specifications of the aircraft obtained by the ANN controller were satisfactory.
... This choice has been motivated by the fact that Simscape allows the dynamic states of the process to be simulated easily and, at the same time, gives great flexibility to the programmer. Examples of the use of the library can be found, among others, in systems where it is used to model variable pressure, flow, and temperature of liquids and gases [27]. It is also used in electrical and mechanical systems [28,29]. ...
The digital twins concept brings a new perspective into the system design and maintenance practice. As any industrial process can be accurately simulated, its digital replica can be utilized to design a control system structure, evaluate its efficacy and investigate the properties of the real system and possible issues. Based on such an analysis, ideas for improvement may be formulated. This article reports the formulation of a digital twin system developed for a Thermal System (TS) maintaining proper thermal conditions for the operation of the Silicon Tracking Detectors (STDs) utilized for high-energy physics experiments. A thermal system digital twin is built for a full-scale target installation, which is right now during the construction phase. The emphasis is put on a proper control system design using the thermal system digital twins.
... The main advantages of this toolset are the ability to simulate dynamic states and the flexibility of software development. The environment is extensively used to model the multidomain systems having complex interactions, such as mechanical and electrical systems [53,54], as well as for modeling the distribution of pressures, temperatures, and flows in gas and liquid systems [55]. In this project, simulation is designed with a connection to programmable logic controllers (PLCs) in mind. ...
The digital twins technology delivers a new degree of freedom into system implementation and maintenance practice. Using this approach, a technological system can be efficiently modeled and simulated. Furthermore, such a twin offline system can be efficiently used to investigate real system issues and improvement opportunities, e.g., improvement of the existing control system or development of a new one. This work describes the development of a control system using the digital twins methodology for a gas system delivering a specific mixture of gases to the time-of-flight (ToF) multipurpose detector (MPD) used during high-energy physics experiments in the Joint Institute for Nuclear Research (Dubna, Russia). The gas system digital twin was built using a test stand and further extended into target full-scale installation planned to be built in the near future. Therefore, conducted simulations are used to validate the existing system and to allow validation of the planned new system. Moreover, the gas system digital twin enables testing of new control opportunities, improving the operation of the target gas system.
