This repository provides a tutorial-oriented simulation of a digital PI control loop applied to a discrete-time ARX model identified from experimental data.
The objective is to reproduce in simulation the same discrete behavior expected when the controller is later implemented on a microcontroller (Arduino, Teensy, ESP32, etc.), including actuator saturation.
β οΈ Note: This tutorial is for educational purposes only. It focuses on simulation and understanding discrete-time digital control with ARX models.
- Model a system using a discrete-time ARX model identified experimentally
- Implement a discrete PI controller using incremental form
- Add saturation limits to emulate real actuator constraints
- Compare reference tracking and control signal behavior
The discrete-time ARX model is defined as:
Where:
a = [1 -1.9366 1.1523 -0.2144]; % note the sign for implementation
b = [0 0 0 -0.001961]; % B(z) with zeros for delaysThe discrete model implemented is:
y(k) = -a(2)*y1 - a(3)*y2 - a(4)*y3 + b(1)*u1 + b(2)*u2 + b(3)*u3+ b(4)*u4;- Sampling period:
$$T_s = 0.004 s$$ - This model was identified from experimental data using ARX method.
The discrete control law implemented is:
error = Ref(k) - y(k);
u = u1 + K0*error + K1*error1;With tuning parameters derived from:
- Proportional gain:
$$K_p$$ - Integral time:
$$T_i$$ - Sampling time:
$$T_s$$
Where
To emulate microcontroller behavior, the controller output is limited to a predefined range:
- Prevents unrealistic actuator commands
- Reflects PWM or DAC limits on embedded hardware
- Avoids integrator wind-up if actuator saturates
Example: -100% β€ u(n) β€ 100%
Without saturation, simulation results may falsely assume an ideal actuator with infinite authority, which never matches microcontroller deployments. To emulate real microcontroller behavior β such as PWM range or fixed DAC limits β
if u > 100
u=100;
end
if u <-100
u=-100;
endBelow are example plots generated with the script:
MIT License
