Solar power control · Founded 2025

Solar panels lose power when the sun changes. SolarTrack keeps up.

SolarTrack develops a smart maximum power point tracking controller for photovoltaic systems. It combines a simple tracking method with an adaptive fuzzy controller so panels settle faster and deliver steadier power.

See the solutionView the results
<0.025 sto reach the maximum power point
75%less power fluctuation than conventional P&O
2xfaster than the 0.05 s of classic P&O
Controller profile At a glance
Base methodPerturb and Observe tracking
P&O
Smart layerIndirect Adaptive Fuzzy Controller
IAFC
AdaptationLyapunov-based rule tunes the step size
Adaptive
Why it matters: Every second a panel spends off its best operating point is energy lost.
The problem

Simple trackers waste energy.

Solar panels behave nonlinearly, and the best operating point moves as sunlight changes.

Oscillation

Classic Perturb and Observe keeps oscillating around the best point, even in steady sunlight.

Slow response

When clouds pass, a fixed step reacts slowly and misses energy.

Fixed rules

Earlier fuzzy hybrids used fixed rule sets that cannot adapt as conditions change.

Our solution

A tracker that adjusts its own step.

SolarTrack keeps the simplicity of P&O but lets an adaptive fuzzy controller decide how big each step should be.

Speed

Fast convergence

<0.025 sto reach the maximum power point
  • Half the time of classic P&O
  • Quick recovery when light changes
  • Simulated under varying sunlight
Stability

Steadier output

75%reduction in power fluctuations
  • Less oscillation at steady state
  • Smoother power to the load
  • Better overall energy yield
Robustness

Self-adapting

Lyapunovbased adaptation rule
  • Adjusts the control action live
  • No fixed rule set
  • Stable by design
How it works

How SolarTrack works.

The controller sits between the panel and the power converter.

  1. 1

    Measure

    Read the panel's voltage and current continuously.

    Sensing
  2. 2

    Perturb and observe

    Nudge the operating point and check whether power goes up or down.

    P&O
  3. 3

    Adapt the step

    The adaptive fuzzy controller sizes the next step using a Lyapunov-based rule.

    IAFCLyapunov
  4. 4

    Hold the peak

    Settle at the maximum power point with minimal oscillation.

    MPPT
Results

Faster and steadier in simulation.

Results come from simulations under varying sunlight conditions, compared with the conventional P&O algorithm.

<0.025 stracking time with SolarTrack
0.05 stracking time with conventional P&O
75%reduction in power fluctuations
Tracking performance reported in the study
MethodTime to maximum power pointPower fluctuation
Conventional P&O0.05 sBaseline
SolarTrack (P&O + IAFC)Under 0.025 s75% lower

Source: Yahia et al., Journal of Robotics and Control 6(3), 1434 to 1449 (2025). doi:10.18196/jrc.v6i3.26451

Who it's for

Who SolarTrack is for.

Anyone who needs more energy from the same panels.

Inverter makers

  • Drop-in tracking algorithm
  • Better dynamic response
  • Stronger product specs

Solar installers

  • More yield on cloudy days
  • Steadier output
  • Same panels, more energy

Off-grid projects

  • Every watt counts
  • Stable power for batteries
  • Suited to changing weather
Where we are

Where we are today.

SolarTrack is at the research and prototype stage.

Simulation results

Performance figures come from simulation, not field trials.

Hardware next

The next step is testing on a physical controller and real panels.

Partners wanted

We are looking for hardware and installation partners for pilots.

The team

The team behind SolarTrack.

Founded in 2025 by the research team behind the adaptive fuzzy MPPT study.

MH

Madina Hamiane

Co-author of the SolarTrack research.

AY

Azzeddine Yahia

Co-author of the SolarTrack research.

MM

Mohamed Tahar Makhloufi

Co-author of the SolarTrack research.

KC

Kheireddine Chafaa

Co-author of the SolarTrack research.

NT

Nadjiba Terki

Co-author of the SolarTrack research.

Frequently asked questions

What is maximum power point tracking?

A control method that keeps a solar panel at the operating point where it produces the most power.

What is new in SolarTrack?

An adaptive fuzzy controller that adjusts the tracking step with a Lyapunov-based rule instead of using fixed rules.

How much faster is it?

It reaches the maximum power point in under 0.025 s, compared with 0.05 s for conventional P&O, in simulation.

Does it need new panels?

No. It is a control algorithm that runs in the power electronics.

Has it been field tested?

Not yet. Current results are from simulation under varying sunlight.

The research

Peer-reviewed science behind SolarTrack.

Read the full study behind the product.

Read the paper

Yahia, A., Makhloufi, M. T., Chafaa, K., Terki, N., & Hamiane, M. (2025). Enhanced maximum power point tracking for photovoltaic systems using adaptive fuzzy control. Journal of Robotics and Control (JRC), 6(3), 1434 to 1449.

https://doi.org/10.18196/jrc.v6i3.26451