Modeling and Simulation of MDF Bagasse Fiber Drying Mahmoud, Gafary; Abdelhameed, Esam H.; Shabib, G. ...
2015 25th International Conference on Computer Theory and Applications (ICCTA),
2015-Oct.-24
Conference Proceeding
Drying process is the most important stage in Medium Density Fiberboard (MDF) production. On one hand, this process is considered the most energy-consuming stage in MDF manufacturing which affecting ...the final price of the product, in addition, the loss of the energy represents50-60% of the total energy. On the other hand, the product quality is depending on how the drying performance is going on i.e. the investigation of the produced MDF properties is directly related to how the desired moisture content is obtained. The authors propose drying process improvement through the control side of view by optimizing the amount of energy that is required for drying the wet resinated fibers before pressing it into aboard during the pressing stage. Consequently, achieving a simulation model for the drying process is the target in this study. The obtained model has been verified using the experimental data from, Nag-Hamady Fiberboard Company, Qena, Egypt. Using the proposed mathematical models, the estimated values of the mixing chamber outlet air temperature, and wet fiber temperature at the inlet of the drying process were satisfactory comparing with the experimental results, where the model of the processed fiber temperature at the outlet of the drying process has to be modified.
This paper suggested a robust frequency control in an isolated microgrid system. Renewable energy sources, load changes and wind power fluctuations can extremely effect on the frequency of microgrid ...system. So, there are a few challenges have been emerged in case of facing the microgrid frequency control issue. In response to these challenges, a new robust technique called Electro-Search Optimization has been introduced in this paper for optimal online tuning of the controller's gains. The proposed system has been examined on the controller's performance and robustness in presence of various step load perturbation and change in wind power. Final results are compared with particle swarm optimization technique and conventional integral controller. It is shown that the adaptive Electro-Search Optimization approach due to considering parametric/structured uncertainties gives superior robustness and performance than particle swarm technique and fixed - integral control.
This paper proposes an intelligent technique known as Electro-Search Optimization (ESO) for optimal online gain tuning of the integral controller for isolated single area micro-grid. The performance ...of the suggested adaptive ESO controller is assessed by comparing it with the conventional integral controller and particle swarm optimization (PSO). ESO was utilized to optimize the integral gain controller to adjust the maximum overshoot and settling time for the desired response. System has been tested for various simultaneous step load perturbations (SLP) and changing in PV power source to reveal the effectiveness and robustness of the suggested scheme. Final analysis indicated that system transient performance with the adaptive ESO is more robustness enough to operate under system parameters uncertainties and different operating conditions than PSO and fixed - integral controller.
This paper presents a decentralized Model Predictive Control (MPC) for Automatic Generation Control (AGC) of a realistic multi power system in Egypt with inherent nonlinearities. The Egyptian Power ...System (EPS) is decomposed into three dynamic subsystems which are non-reheat, reheat, and hydro power plants. Moreover, each subsystem has its private characteristics compared to the others. Therefore, each subsystem controller has been designed independently to guarantee the stability of the overall closed loop system. Hence, MPC is proposed for every subsystem separately to regulate the frequency and to track the load demands of EPS. The performance of the proposed decentralized MPC of each subsystem is compared with the centralized one at different operational scenarios. The results by nonlinear simulation MATLAB/SIMULINK for the generation control of EPS approves that the decentralized predictive model gives almost the same performance as the centralized one. However, the centralized model cannot address the large load disturbance and system parameters variation. In contrast, the decentralized MPC scheme is more robust and effective against all disturbances and operating conditions.
The application of self tuning controllers as power system stabilizers in power system is considered. This paper presents an application of discrete self tuning controllers based on pole placement ...for damping electromechanical oscillations of power system. Controller design is mainly based on a discrete model using the delta operator δ which converges to a continuous model with decreased sampling period rather than the more usual shift operator. Simulation studies performed on a single-machine infinite-bus power system are presented. Results clearly show the benefits of the proposed adaptive controller for stability enhancement of power system especially where there is large change in operating point.
Positioning mechanisms with strain wave gearing have been extensively used in many industrial applications. Besides to the friction of the servo actuator, angular transmission error and the elastic ...behavior of the transmission gear deteriorate the control performance. In this paper, a design of a proportional controller cascaded with an optimized fuzzy proportional plus integral controller (P-PIFLC) has been proposed to preserve the displacement according to the reference. The effectiveness of the proposed controller has been verified using MATLAB/SIMULINK simulator and the results were compared with those obtained using conventional P-PI controller. The results show the superiority of the P-PIFLC controller over the conventional P-PI.
Recently, Modular Multilevel Converter (MMC) has become one of the most popular converters in medium/high power applications. Therefore, this paper presents a high-performance Model Predictive ...Control (MPC) in order to control the output voltage of the three phase MMC under various conditions and loads. Fast dynamic response, Low output harmonic distortion and voltage stability can be achieved through the proposed control system. The results by nonlinear simulation MATLAB/SIMULINK software for the MMC system approves that the proposed control system gives a high feasibility and better performance against several types of loads.
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