Soft starting of induction motor using ANN based controller
Induction motor starts with very high inrush current which can damage its insulation and it can cause voltage dip in the system so I have implemented an inrush current limiting technique which can start the motor softly. After implementing this circuit, motor reaches its rated speed gradually and so
2025-06-28 16:29:34 - Adil Khan
Soft starting of induction motor using ANN based controller
Project Area of Specialization Electrical/Electronic EngineeringProject SummaryInduction motor starts with very high inrush current which can damage its insulation and it can cause voltage dip in the system so I have implemented an inrush current limiting technique which can start the motor softly. After implementing this circuit, motor reaches its rated speed gradually and softly. This technique is implemented through ANN (Artificial Neural Network) Controller. ANN is comprised of three layers such as input layer, hidden layer and output layer. Through the training process of ANN program, we can design ANN based controller which can start the motor softly.
Project Objectives- To propose the ANN based control scheme for preventing motor from large inrush current by limiting the voltage and current at starting.
- To simulate the soft-starter with conventional and proposed control scheme to verify the effectiveness of proposed control scheme.
The main component of this project is Arduino Nano which is coded with Trained ANN Program. Single Phase Induction motor takes reduced inrush current through this project by performing relay switching after some instant. It implements zero crossing detector which detects when the sine wave crosses zero amplitude thus providing signal pulse to the TRIAC which in return controls the voltage therefore desired current flows through the circuit.
Benefits of the Project- Inrush current is limited as a result system does not suffer from any voltage dip.
- If inrush is reduced then fuse selection is easy.
- Life of motor's insulation lasts longer because it does not face any high current.
The final prototype uses Arduino Nano which is a microcontroller acting as a brain of project. It uses opto isolators for the zero crossing which signals the thyristors. Relay is also used for the automatic switching purpose.
Final Deliverable of the Project Hardware SystemCore Industry ITOther IndustriesCore Technology Artificial Intelligence(AI)Other TechnologiesSustainable Development Goals Industry, Innovation and InfrastructureRequired Resources| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Total in (Rs) | 23999 | |||
| Arduino Nano | Equipment | 1 | 1200 | 1200 |
| Vero Board | Equipment | 1 | 80 | 80 |
| Relay 12v 30A | Equipment | 1 | 600 | 600 |
| soft wire | Equipment | 1 | 300 | 300 |
| resistors | Equipment | 7 | 2 | 14 |
| wiring connectors | Equipment | 3 | 50 | 150 |
| power supply 5v | Equipment | 1 | 300 | 300 |
| Solder Wire | Equipment | 1 | 230 | 230 |
| Fuse | Equipment | 3 | 15 | 45 |
| 4N35VM | Equipment | 1 | 200 | 200 |
| MOC3020M | Equipment | 1 | 200 | 200 |
| Bridge Rectifier SMD | Equipment | 1 | 500 | 500 |
| BT142 TRIAC | Equipment | 1 | 90 | 90 |
| 2N2222 BJT | Equipment | 1 | 30 | 30 |
| Push Button | Equipment | 1 | 30 | 30 |
| Capacitor | Equipment | 1 | 30 | 30 |
| Single Phase Induction Motor | Equipment | 1 | 11000 | 11000 |
| Thesis Printing | Miscellaneous | 2 | 2500 | 5000 |
| Thesis Binding | Miscellaneous | 2 | 1000 | 2000 |
| Thesis Board and Posters | Miscellaneous | 1 | 2000 | 2000 |