26 research outputs found
PEMODELAN SISTEM TANGKI-TERHUBUNG DENGAN MENGGUNAKAN MODEL FUZZY TAKAGI-SUGENO
Get PDFModeling of Coupled-Tank System Using Fuzzy Takagi-Sugeno Model. This paper describes modeling of coupledtanksystem based on data measurement using fuzzy Takagi-Sugeno model. The fuzzy clustering method of Gustafson-Kessel algorithm is used to classify input-output data into several clusters based on distance similarity of a member ofinput-output data from center of cluster. The formed clusters are projected orthonormally into each linguistic variablesof premise part to determine membership function of fuzzy Takagi-Sugeno model. By estimating data in each cluster,the consequent parameters of fuzzy Takagi-Sugeno model are calculated using weighted least-squares method. Theresulted fuzzy Takagi-Sugeno model is validated by using model performance parameters variance-accounted-for (VAF)and root mean square (RMS) as performance indicators. The simulation results show that the fuzzy Takagi-Sugenomodel is able to mimic nonlinear characteristic of coupled-tank system with good value of model performanceindicators.Keywords: System modeling, fuzzy Takagi-Sugeno, fuzzy clustering, coupled-tan
Modeling of Coupled-Tank System Using Fuzzy Takagi-Sugeno Model
Get PDFModeling of Coupled-Tank System Using Fuzzy Takagi-Sugeno Model. This paper describes modeling of coupledtank system based on data measurement using fuzzy Takagi-Sugeno model. The fuzzy clustering method of Gustafson- Kessel algorithm is used to classify input-output data into several clusters based on distance similarity of a member of input-output data from center of cluster. The formed clusters are projected orthonormally into each linguistic variables of premise part to determine membership function of fuzzy Takagi-Sugeno model. By estimating data in each cluster, the consequent parameters of fuzzy Takagi-Sugeno model are calculated using weighted least-squares method. The resulted fuzzy Takagi-Sugeno model is validated by using model performance parameters variance-accounted-for (VAF) and root mean square (RMS) as performance indicators. The simulation results show that the fuzzy Takagi-Sugeno model is able to mimic nonlinear characteristic of coupled-tank system with good value of model performance indicators
Design of Optimal Controller for Parallel Hybrid Electric Vehicle Based On Shortest Path Algorithm
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Multi-Model Predictive Control on HVAC Chilled Water Pump for Temperature Control and Energy Consumption Reduction for Auditorium
Get PDFMost energy consumption comes from the high demand from buildings. A large portion from buildings comes from the HVAC systems. A proper optimal control strategy is needed for energy savings. This paper proposes a multi-model MPC strategy for controlling the chilled water pump HVAC to reduce energy consumption for an auditorium in MAC UI building. The building model is modeled in EnergyPlus software, while the control strategy is modeled using MATLAB where both software communicates using BCVTB. The developed control performance has been tested under different operating conditions and different set of temperature changes. The result shows that the proposed controller can reduce the total energy consumption of chilled water pump by 13.1% compared to the existing On/Off controller
Stability analysis of MRAS speed sensorless control of permanent magnet synchronous motor
No full textStability of the Rotor Flux Oriented Speed Sensorless Permanent Magnet Synchronous Motor Control
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