DESIGN AND IMPLEMENTATION OF PID CONTROLLER IN AC MOTOR USING HYBRID REFERENCE CONTROL METHOD
AC Motor takes the important role in both process industry and manufacture industry. AC Motor is the main element of system's movement. The unstable AC motor's response often becomes a problem. Consequently, precise control action is needed in order to make the proper output. VSD and AC Mo...
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Format: | Final Project |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/19852 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Summary: | AC Motor takes the important role in both process industry and manufacture industry. AC Motor is the main element of system's movement. The unstable AC motor's response often becomes a problem. Consequently, precise control action is needed in order to make the proper output. VSD and AC Motor can not be seperated with one another. VSD is responsible as a speed controller of AC Motor. Nowadays VSD has been equipped by any control features. Nevertheless, it is still less to obtain the optimum response performance. PID controller features in PLC can be used to optimize response performance. Besides that, the integration between PLC and HMI, can be an automation tools for system. The response which is desired must be without overshoot. To obtain this condition, modification has to be implemented as putting the PID controller using HRC method. The controller changes the manipulated setpoint step by step until <br />
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the output reaches the default setpoint. The output learns to every change of manipulated setpoint in order to reduce or even eliminate the overshoot. PI controller of VSD was tuned using the autotuning feature of MATLAB <br />
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Simulink software. It resulted a response with overshoot as follows 11.2%. while in the implementation, the overshoot was about 10.26%. When PID HRC was added with Kp = 3.88, Ti2 = 2000 seconds (PLC Maximum Value) and Td =0.002 seconds, the result became better. From the simulation, the overshoot was disappeared and the settling time was 6.4 seconds. While in the implementation, the average of settling time for several experiments was 4.94 seconds without overshoot. |
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