𝗠𝗔𝗧𝗟𝗔𝗕 𝗦𝗶𝗺𝘂𝗹𝗶𝗻𝗸: 𝗦𝗼𝗹𝗮𝗿 𝗣𝗩 𝘄𝗶𝘁𝗵 𝗔𝗡𝗙𝗜𝗦 𝗠𝗣𝗣𝗧 | 𝗠𝗮𝘅𝗶𝗺𝘂𝗺 𝗣𝗼𝘄𝗲𝗿 𝗧𝗿𝗮𝗰𝗸𝗶𝗻𝗴 𝗨𝘀𝗶𝗻𝗴 𝗔𝗡𝗙𝗜𝗦 | 𝗔𝗡𝗙𝗜𝗦 𝗧𝘂𝘁𝗼𝗿𝗶𝗮𝗹

Опубликовано: 19 Май 2026
на канале: RLC MATLAB Academy

𝗦𝗼𝗹𝗮𝗿 𝗣𝗩 𝘄𝗶𝘁𝗵 𝗔𝗡𝗙𝗜𝗦 𝗠𝗣𝗣𝗧 | 𝗠𝗮𝘅𝗶𝗺𝘂𝗺 𝗣𝗼𝘄𝗲𝗿 𝗧𝗿𝗮𝗰𝗸𝗶𝗻𝗴 𝗨𝘀𝗶𝗻𝗴 𝗔𝗡𝗙𝗜𝗦 | 𝗔𝗡𝗙𝗜𝗦 𝗧𝘂𝘁𝗼𝗿𝗶𝗮𝗹 𝗶𝗻 𝗠𝗔𝗧𝗟𝗔𝗕
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In this session, we explored the 𝗦𝗼𝗹𝗮𝗿 𝗣𝗩 𝗦𝘆𝘀𝘁𝗲𝗺 integrated with an intelligent 𝗔𝗡𝗙𝗜𝗦 𝗠𝗣𝗣𝗧 𝗰𝗼𝗻𝘁𝗿𝗼𝗹𝗹𝗲𝗿 for efficient power extraction. ⚡

🔹 𝗞𝗲𝘆 𝗦𝘆𝘀𝘁𝗲𝗺 𝗖𝗼𝗺𝗽𝗼𝗻𝗲𝗻𝘁𝘀
• 𝗣𝗩 𝗔𝗿𝗿𝗮𝘆 – Converts solar energy into electrical power
• 𝗕𝗼𝗼𝘀𝘁 𝗖𝗼𝗻𝘃𝗲𝗿𝘁𝗲𝗿 – Steps up the output voltage
• 𝗔𝗡𝗙𝗜𝗦 𝗠𝗣𝗣𝗧 – Intelligent controller for maximum power tracking

🔹 𝗜𝗻𝗽𝘂𝘁 𝗣𝗮𝗿𝗮𝗺𝗲𝘁𝗲𝗿𝘀
• 𝗜𝗿𝗿𝗮𝗱𝗶𝗮𝗻𝗰𝗲 (Constant & Variable)
• 𝗧𝗲𝗺𝗽𝗲𝗿𝗮𝘁𝘂𝗿𝗲
➡️ These inputs directly influence PV performance and power output.

🔹 𝗣𝗩 𝗔𝗿𝗿𝗮𝘆 𝗢𝘂𝘁𝗽𝘂𝘁
• Maximum Power ≈ 𝟭.𝟮 𝗸𝗪
• Voltage at MPP ≈ 𝟭𝟱𝟭 𝗩
• Current ≈ 𝟴.𝟯𝟴 𝗔
➡️ Achieved using series-parallel configuration of PV modules.

🔹 𝗕𝗼𝗼𝘀𝘁 𝗖𝗼𝗻𝘃𝗲𝗿𝘁𝗲𝗿 𝗢𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻
• Components: Inductor, Capacitors, IGBT, Diode
• Controlled via PWM signals
➡️ Ensures voltage boosting for efficient load utilization.

🔹 𝗔𝗡𝗙𝗜𝗦 𝗠𝗣𝗣𝗧 𝗖𝗼𝗻𝘁𝗿𝗼𝗹𝗹𝗲𝗿
• Combines 𝗔𝗡𝗡 + 𝗙𝘂𝘇𝘇𝘆 𝗟𝗼𝗴𝗶𝗰
• Inputs: Irradiance & Temperature
• Output: VMP (Maximum Power Voltage)
➡️ Enhances tracking accuracy under changing conditions.

🔹 𝗖𝗼𝗻𝘁𝗿𝗼𝗹 𝗟𝗼𝗼𝗽
• VMP compared with VPV
• Error → 𝗣𝗜 𝗖𝗼𝗻𝘁𝗿𝗼𝗹𝗹𝗲𝗿
• Output → Duty Cycle
➡️ Drives PWM Generator for IGBT switching.

🔹 𝗔𝗡𝗙𝗜𝗦 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴 𝗣𝗿𝗼𝗰𝗲𝘀𝘀
• Dataset: ΔV, ΔP, Duty Cycle
• Membership Function: Triangular (3×3)
• Training Method: Hybrid Learning
• Error Achieved: ~0.002 (Very Low)
➡️ Ensures high precision in MPPT operation.

🔹 𝗦𝘆𝘀𝘁𝗲𝗺 𝗣𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲
• Input Power ≈ 1000 W
• Output Power ≈ 990 W
• Efficiency ≈ 𝟵𝟵% ✅
➡️ Demonstrates effectiveness of 𝗔𝗡𝗙𝗜𝗦 𝗠𝗣𝗣𝗧.

📊 𝗞𝗲𝘆 𝗧𝗮𝗸𝗲𝗮𝘄𝗮𝘆
➡️ 𝗔𝗡𝗙𝗜𝗦 𝗠𝗣𝗣𝗧 provides fast, accurate, and adaptive tracking
➡️ Ideal for variable environmental conditions
➡️ Improves overall PV system efficiency

🔔 𝗙𝗼𝗹𝗹𝗼𝘄 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝗠𝗔𝗧𝗟𝗔𝗕 & 𝗥𝗲𝗻𝗲𝘄𝗮𝗯𝗹𝗲 𝗘𝗻𝗲𝗿𝗴𝘆 𝗰𝗼𝗻𝘁𝗲𝗻𝘁!

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