ABB Module Model NTAC-02 Original off-the-shelf PLC module

ABB Module Model NTAC-02 Original off-the-shelf PLC module

ABB Module Model NTAC-02 Original off-the-shelf PLC module

Brand ABB Color Standard Application Industrial height 175mm rated current 490mA
Protection Level IP45 Suitable for motor power 546KW Application Site Power Industry Material Code GJR2391500R1220 Power industry HIEE401782R0001 Part No. NTAC-02
Applicable pipe 2 Whether imported is weighing 4.38 kg can be sold nationwide

ABB Module Model NTAC-02 Original off-the-shelf PLC module

Brand ABB Color Standard Application Industrial height 175mm rated current 490mA
Protection Level IP45 Suitable for motor power 546KW Application Site Power Industry Material Code GJR2391500R1220 Power industry HIEE401782R0001 Part No. NTAC-02
Applicable pipe 2 Whether imported is weighing 4.38 kg can be sold nationwide

ABB Module Model NTAC-02 Original off-the-shelf PLC module

Based on modern control theory, NTAC-02 integrates fuzzy control, expert control and neural network control to form a highly intelligent automatic control system as the development direction of modern automation control field. The fuzzy control relies on the fuzzy controller to adjust the fuzzy control law in time to improve the system performance by obtaining the field information continuously during the control process, and has the self-learning function. Because of its strong robustness and insensitivity, fuzzy control can improve the stability of the control system, improve the control precision and suppress the oscillation. Expert control is an important research method in the field of artificial intelligence, which has advantages in improving the flexibility and intelligence of control system. From the perspective of bionics, neural network control simulates the human brain nervous system, enabling the machine to have the ability of perception, learning and reasoning. The neural network can constantly approach any complex nonlinear relationship, and can learn and adapt to the dynamic performance of the seriously uncertain system. All information is equipotential distributed and stored in each neuron in the network, so it has strong robustness and fault tolerance. It has great potential in solving highly nonlinear and seriously uncertain system control.

ABB Module Model NTAC-02 Original off-the-shelf PLC module

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