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Related Concept Videos

PID Controller01:19

PID Controller

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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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Time-Domain Interpretation of PD Control01:07

Time-Domain Interpretation of PD Control

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Proportional-Derivative (PD) control is a widely used control method in various engineering systems to enhance stability and performance. In a system with only proportional control, common issues include high maximum overshoot and oscillation, observed in both the error signal and its rate of change. This behavior can be divided into three distinct phases: initial overshoot, subsequent undershoot, and gradual stabilization.
Consider the example of control of motor torque. Initially, a positive...
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PD Controller: Design01:26

PD Controller: Design

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In automotive engineering, car suspension systems often employ Proportional Derivative (PD) controllers to enhance performance. PD controllers are utilized to adjust the damping force in response to road conditions. A controller, acting as an amplifier with a constant gain, demonstrates proportional control, with output directly mirroring input.
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PI Controller: Design01:24

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Proportional Integral (PI) controllers are a fundamental component in modern control systems, widely used to enhance performance and mitigate steady-state errors. They are particularly effective in applications such as automatic brightness adjustment on smartphones, where they excel at mitigating steady-state errors for step-function inputs. Unlike PD controllers, which require time-varying errors to function optimally, PI controllers leverage their integral component to address residual...
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Time and frequency -Domain Interpretation of PI Control01:27

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Proportional-Integral (PI) controllers are essential in many control systems to improve stability and performance. They are commonly used in everyday devices like thermostats to enhance system damping and reduce steady-state error. When the zero in the controller's transfer function is optimally placed, the system benefits significantly in terms of stability and accuracy.
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Root-Locus Method01:19

Root-Locus Method

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A cruise control system in a car is designed to maintain a specified speed automatically by adjusting the gas pedal. The system continuously measures the vehicle's speed and makes fine adjustments to the pedal to achieve this goal. The root locus method is particularly useful for understanding how the cruise control system's behavior changes under varying conditions, such as when the car goes uphill, downhill, or faces strong wind resistance.
This system can be represented by a block...
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Determining and Controlling External Power Output During Regular Handrim Wheelchair Propulsion
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Arithmetic optimization algorithm based PID control for reduced order motorized wheelchairs with real time MIL SIL

Inssaf Harrade1, Mohamed Kmich1, Hicham Karmouni2

  • 1Laboratory of Engineering, Systems and Applications, National School of Applied Sciences, Sidi Mohamed Ben Abdellah University, Fez, Morocco.

Scientific Reports
|April 13, 2026
PubMed
Summary
This summary is machine-generated.

An optimized PID controller using the Arithmetic Optimization Algorithm (AOA-PID) enhances motorized wheelchair control. This method improves stability, accuracy, and robustness, offering better assistive mobility.

Keywords:
AOA-PIDArithmetic Optimization Algorithm (AOA)MIL/SIL/PIL validationPIDWheelchairs

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Area of Science:

  • Robotics and Control Systems
  • Electromechanical Engineering
  • Artificial Intelligence in Healthcare

Background:

  • Effective control of motorized wheelchairs requires stability, rapid response, accuracy, and robustness against system nonlinearities.
  • Existing control methods often struggle with the complex dynamics and disturbances inherent in electromechanical systems.

Purpose of the Study:

  • To introduce an optimized Proportional-Integral-Derivative (PID) controller, termed AOA-PID, utilizing the Arithmetic Optimization Algorithm (AOA).
  • To evaluate the performance and efficiency of the AOA-PID controller for motorized wheelchair applications.

Main Methods:

  • Development of a comprehensive wheelchair model and an optimization model to reduce computational cost while preserving essential system dynamics.
  • Experimental investigation of PID controller parameters.
  • Comparative analysis of AOA-PID against various PID optimization algorithms (SCA, KOA, SSA, POA, PSO) and traditional/modern control methods.
  • Model-in-the-Loop (MIL), Software-in-the-Loop (SIL), and Processor-in-the-Loop (PIL) testing for embedded system validation.

Main Results:

  • AOA-PID demonstrated a quicker response, controlled overshoots, zero steady-state error, and a very low Integral Absolute Error (IAE) value.
  • The controller achieved simultaneous improvements in stability, accuracy, and robustness.
  • Embedded system testing confirmed high performance with low CPU consumption, meeting real-time processing requirements.

Conclusions:

  • The AOA-PID strategy is an efficient and highly capable approach for assistive mobility control.
  • Significant enhancements in safety, stability, and accuracy were observed.
  • The AOA-PID controller offers a promising solution for advanced motorized wheelchair systems.