LDR base solar light tracking system using Transistor DIY project
Project
Title:
LDR-Based Motor Driver Circuit using
Transistors
Objective:
To implement light tracking solar system.
Components Used:
|
Component |
Quantity |
Description |
|
LDR (Light Dependent Resistor) |
2 |
Senses light intensity |
|
BC547 NPN Transistor |
1 |
Used to switch current based on
LDR1 |
|
BC547 PNP Transistor |
1 |
Used to switch current based on
LDR2 |
|
Resistors (100Ω) |
2 |
Limits current to base of
transistors |
|
DC Motor |
1 |
Rotates when either transistor
conducts |
|
Power Supply |
1 |
+5V Battery or adapter |
Circuit
Explanation:
This is a dual-LDR sensor-based
motor control circuit using two NPN transistor (Q1 ,Q2- BC547) . The
two LDRs (LDR1 and LDR2) act as light sensors that detect ambient light levels
and control the motor accordingly.
Working Principle:
- LDR Behavior:
- In Bright Light
→ Resistance LOW
- In Darkness/Shadow → Resistance HIGH
Circuit Breakdown:
- Power Supply:
- A +5V power source is connected to the mid joint of
LDR Q1,Q2 .
- Both emitter are shorted and connect to GND.
- Motor Connection:
- The motor is
connected between the collectors of Q1 and Q2. This allows current to
pass through the motor if either transistor conducts.
- Base Control with LDRs:
- Q1 :
Base is controlled via LDR2 . If LDR2 detects light, its
resistance drops, allowing current into the base of Q1 through 100 ohm
resistor→ Q1 turns ON → Motor gets a path to ground in clock wise.
- Q2 :
Base is controlled via LDR1 . If LDR1 detects light, its
resistance drops, allowing current into the base of Q2 through 100 ohm
resistor→ Q2 turns ON → Motor gets a path to ground in anticlock wise.
- Motor Movement:
- Clock wise or anticlock wise.
advantages:
- Simple and low-cost circuit.
- Easy to build and understand for beginners.
- Can be used in basic robotics and automation projects.
- Mainly designed for LDR base solar light tracking
system.
- To identify current direction .
I do not have exact reference sites, but I referred to YouTube
videos, books, and ChatGPT for
understanding and building this project.
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