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Journal : Makara Journal of Technology

Design of Induction Motor Drive Without Velocity Sensor Using Current Vector Controller with Full and Reduced Observer Moving to DQ Axis Gunawan, Ridwan; Yusivar, Feri; Wahab, Wahidin; Kadir, Zuhal A.
Makara Journal of Technology Vol. 10, No. 1
Publisher : UI Scholars Hub

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Abstract

Design of Induction Motor Drive Without Velocity Sensor Using Current Vector Controller with Full and Reduced Observer Moving to DQ Axis. The observer is used in estimation velocity sensor usually in α-β axis, therefore this situation will need an extra transformation when we want to add compensator because the flux model is in direct and quadrature-axis dq. Every used the transformation to make possible emerge an error. So in this simulation is used a method to estimate the velocity of induction motor drive with observer that is moved to dq-axis. The model of actual motor used is in alfa-beta axis, but the observer use the motor models in rotor flux oriented control (RFOC).This matter, also to prove that the different models of motor drives can be used between the actual and estimated one. The simulation results with C-MEX S-function Matlab/Simulink 6.5 to show that the full order observer in dq axis gives better performance than the reduced order observer.
Modeling of a New Structure of Precision Air Conditioning System Using Secondary Condenser for Rh Regulation Subiantoro, Aries; Nasruddin, Nasruddin; Yusivar, Feri; Al-Hamid, Muhammad Idrus; Budiardjo, Bagio
Makara Journal of Technology Vol. 16, No. 1
Publisher : UI Scholars Hub

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Abstract

A dynamic mathematical model for a new structure of precision air conditioning (PAC) has been developed. The proposed PAC uses an additional secondary condenser for relative humidity regulation compared to a basic refrigeration system. The work mechanism for this system and a vapour-compression cycle process of the system are illustrated using psychrometric chart and pressure-enthalpy diagram. A non-linear system model is derived based on the conservation of mass and energy balance principles and then linearized at steady state operating point for developing a 8th-order state space model suited for multivariable controller design. The quality of linearized model is analyzed in terms of transient response, controllability, observability, and interaction between input-output variables. The developed model is verified through simulation showing its ability for imitating the nonlinear behavior and the interaction of input-output variables.