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Proportional-Integral-Derivative (PID) controllers are widely used in various control systems to enhance stability and performance. In a thermostat, it adjusts heating or cooling based on the temperature difference between the actual and desired levels. They are often used in automotive speed systems, effectively managing sudden speed changes while maintaining a constant speed under varying conditions. On the other hand, PI controllers, commonly employed in voltage regulation, enhance stability...
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Flood Algorithm-Tuned PID-F Controller with a Modified Objective Function for Robust and Noise-resilient Speed

Serdar Ekinci1, Davut Izci2,3, Cebrail Turkeri4

  • 1Department of Computer Engineering, Bitlis Eren University, Bitlis, Turkey.

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Summary

This study introduces an optimized engine speed control strategy for spark ignition (SI) engines using a flood algorithm (FLA)-tuned controller. The FLA-tuned system demonstrates superior performance in speed regulation under dynamic conditions.

Keywords:
Automotive engine speed controlDisturbance rejectionEngine speed controlFlood algorithmMetaheuristic optimizationPID-F controllerReference trackingSpark ignition engine

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Area of Science:

  • Automotive Engineering
  • Control Systems Theory
  • Computational Intelligence

Background:

  • Nonlinear dynamics and time-varying behavior of spark ignition (SI) engines pose challenges for precise speed control.
  • Existing engine speed control strategies often struggle with robustness and rapid response to disturbances.

Purpose of the Study:

  • To develop and validate a novel control strategy for regulating engine speed in nonlinear four-cylinder SI engines.
  • To leverage the flood algorithm (FLA) for efficient tuning of a proportional-integral-derivative with filter (PID-F) controller.
  • To enhance transient response and steady-state accuracy while ensuring robustness against load variations and noise.

Main Methods:

  • Integration of a proportional-integral-derivative controller with a filter (PID-F).
  • Tuning of the PID-F controller parameters using the flood algorithm (FLA), employing a modified objective function to minimize overshoot and tracking error.
  • Modeling and simulation in MATLAB/Simulink.
  • Benchmarking against Simulink PID tuner and other metaheuristic algorithms (whale optimization, sinh-cosh, cuckoo search).

Main Results:

  • The FLA-optimized PID-F controller demonstrated superior performance compared to existing methods.
  • Achieved stable, robust, and noise-resilient engine speed regulation under varying load and disturbance conditions.
  • Validated the efficiency and scalability of the FLA for real-time controller tuning.

Conclusions:

  • The proposed FLA-tuned PID-F controller offers a practical and computationally efficient solution for advanced engine control.
  • Flood algorithm is an effective tool for optimizing controller parameters in automotive applications.
  • The strategy enhances engine performance and fuel efficiency through precise speed control.