The 1MWth Reactor TRIGA PUSPATI (RTP) Mark II type has undergone more than 35 years of operation. The existing core power control uses feedback control algorithm (FCA). It is challenging to keep the core power stable ...
The 1MWth Reactor TRIGA PUSPATI (RTP) Mark II type has undergone more than 35 years of operation. The existing core power control uses feedback control algorithm (FCA). It is challenging to keep the core power stable at the desired value within acceptable error bands to meet the safety demand of RTP due to the sensitivity of nuclear research reactor operation. Currently, the system is not satisfied with power tracking performance and can be improved. Therefore, a new design core power control is very important to improve the current performance in tracking and regulate reactor power by control the movement of control rods. In this paper, the adaptive controller and focus on Model Reference Adaptive control (MRAC) and Self-Tuning control (STC) were applied to the control of the core power. The model for core power control was based on mathematical models of the reactor core, adaptive controller model, and control rods selection programming. The mathematical models of the reactor core were based on point kinetics model, thermal hydraulic models, and reactivity models. The adaptive control model was presented using Lyapunov method to ensure stable close loop system and STC Generalised Minimum Variance (GMV) controller was not necessary to know the exact plant transfer function in designing the core power control. The performance between proposed adaptive control and FCA will be compared via computer simulation and analysed the simulation results manifest the effectiveness and the good performance of the proposed control method for core power control.
Increasingly stringent requirements for motion systems lead to a situation where the positioning performance can often not be measured directly and therefore has to be estimated. A typical example is a wafer stage, wh...
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Cadmium doped zinc oxide nanoparticles have been synthesized by chemical combustion of acetates of metals, nitric acid and di/triethanolamine. Thick film screen-printed sensors have been fabricated using the nano-powd...
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Cadmium doped zinc oxide nanoparticles have been synthesized by chemical combustion of acetates of metals, nitric acid and di/triethanolamine. Thick film screen-printed sensors have been fabricated using the nano-powders. The sensor exhibits fastest response time for detection of methanol in comparison to reported metal oxide alcohol sensors when doped with 2 atomic percent Cadmium at 3000C. The Doped ZnO phases were characterized by XRD, FESEM and EDS. It was found to exist as a hexagonal system in a primitive lattice with average crystallite size of around 25 nm, bandgap of 2.7 eV and grain size less than 100 nm. The sensors were found to be selectively sensitive to 20-300ppm of methanol vapours with a response and recovery times of 4- 9 seconds and 5-10 seconds respectively.
This paper presents an inertial-sensing-based vibration analysis and suppression system for laser galvanometers. The functions of this system are to measure the vibrations during rotation motions of galvanometers and ...
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ISBN:
(纸本)9781509056149
This paper presents an inertial-sensing-based vibration analysis and suppression system for laser galvanometers. The functions of this system are to measure the vibrations during rotation motions of galvanometers and to design a comb filter for restraining the vibrations of the galvanometers effectively. The proposed system is composed of an intelligent motion control platform, a servo driver circuit, a galvanometer driver module, a galvanometer, and a MEMS piezoelectric accelerometer. The proposed system can measure the vibration signals generated by the galvanometer using the piezoelectric accelerometer and utilize the fast Fourier transformation (FFT) to analyze the vibration frequencies. Subsequently, a digital comb filter is designed to restrain the vibrations of the galvanometer based on the obtained vibration frequencies. Finally, the experimental results have successfully validated that the proposed inertial-sensing-based vibration analysis and suppression system, and the designed comb filter can measure, analyze, and restrain the vibrations of the galvanometer effectively and further improve the accuracy and stability of the laser galvanometer scanning system.
Procurement of measuring device, maintenance cost coupled with calibration of the instrument contributed to the difficulty in forecasting of global solar radiation in underdeveloped countries. Most of the available re...
Procurement of measuring device, maintenance cost coupled with calibration of the instrument contributed to the difficulty in forecasting of global solar radiation in underdeveloped countries. Most of the available regressional and mathematical models do not capture well the behavior of the global solar radiation. This paper presents the comparison of Adaptive Neuro Fuzzy Inference System (ANFIS) and Autoregressive Moving Average with eXogenous term (ARMAX) in forecasting global solar radiation. Full-Scale (experimental) data of Nigerian metrological agency, Sultan Abubakar III international airport Sokoto was used to validate the models. The simulation results demonstrated that the ANFIS model having achieved MAPE of 5.34% outperformed the ARMAX model. The ANFIS could be a valuable tool for forecasting the global solar radiation.
Developing an autonomous flight control system for a fixed-wing unmanned aerial vehicle (UAV) requires the mathematical representation of the system dynamics which can be obtained through system identification, such a...
Developing an autonomous flight control system for a fixed-wing unmanned aerial vehicle (UAV) requires the mathematical representation of the system dynamics which can be obtained through system identification, such as using white, grey or black box methods. In this paper, three system identification methods; white method modeling using Cook formulas which is used analytically to develop the linear-time-invariant model structure with the aerodynamic coefficients of the UAV extracted from Missile DATCOM computations at certain flight conditions, and two empirical mathematical models constructed from non-linear flight simulator defined as the Greyification of Black Box Model (B2G) and Direct Grey to White Linkage (G2W). The comparison shows that both empirical methods prove to be very instrumental to contrast and produce higher sense of engineering than the analytical one
One of the key components in an electric vehicle is brushless direct current (BLDC) motor controller. At present, it is difficult to match a self-made motor controller with several different BLDC motors available in t...
One of the key components in an electric vehicle is brushless direct current (BLDC) motor controller. At present, it is difficult to match a self-made motor controller with several different BLDC motors available in the global market. One of the reasons is that the Hall sensors’ configuration is not well informed. Another reason is the motor parameter’s values used in the controller are not well suited with the real physical conditions of the motor. This study aims to design an intelligent reconfigurable BLDC motor controller. In this paper, a method for automatic commutation configuration and automatic parameter values detection is presented. The Hall sensors and motor phases configurations are identified. The BLDC motor parameter values are detected automatically using mathematical models. Those parameters include internal resistance, inductance, coefficient of back electromotive force (BEMF), torque coefficient, friction coefficient, and moment of inertia. Experimental results of the automatic commutation configuration and parameter values detection are presented. Those results were used to develop a current controller. Further experimental results indicated that the method could be implemented in a BLDC motor current controller.
The article presents the design, modelling and simulation of an electronic control solution for a MEMS electromagnetic scanning system. The electromechanical design is presented and completed with a mathematical model...
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ISBN:
(纸本)9781509065318
The article presents the design, modelling and simulation of an electronic control solution for a MEMS electromagnetic scanning system. The electromechanical design is presented and completed with a mathematical model, and a simulation based on Comsol. The simulations allow to extract the equivalent circuit parameters of the actuator which in turn are used to integrate the equivalent circuit with the electronic circuit and simulate in PSPICE. The behavior of the overall circuit is simulated allowing to optimally design the electronic circuit. Current sources with Howland topology made with operational amplifiers are often used for electromagnetically actuators if that requires constant current polarization. Theoretical determination of overall performances for these circuits is generally known. This paper presents a PSPICE simulation for the mains performance of the constant current circuit used for actuators driving.
It is well known that the electro-hydraulic actuator (EHA) system is exposed to the disturbances, uncertainties, and parameter variations which are caused by the changes in operating conditions for instance, total mov...
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The Editors-in-Chief of Environmental Earth Sciences are issuing an editorial expression of concern to alert readers that this article [1] shows substantial indication of irregularities in authorship during the submis...
The Editors-in-Chief of Environmental Earth Sciences are issuing an editorial expression of concern to alert readers that this article [1] shows substantial indication of irregularities in authorship during the submission process.
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