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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.
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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.
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Related Experiment Video

Updated: Sep 5, 2025

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
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Using Sequence-Approximation Optimization and Radial-Basis-Function Network for Brake-Pedal Multi-Target Warping and

Hanjui Chang1,2, Guangyi Zhang1,2, Yue Sun1,2

  • 1Department of Mechanical Engineering, College of Engineering, Shantou University, Shantou 515063, China.

Polymers
|July 9, 2022
PubMed
Summary
This summary is machine-generated.

This study optimizes automotive pedal injection molding using multi-objective optimization, reducing weight by over 50% compared to aluminum. The method minimizes warpage and cycle time by adjusting fiber orientation and process parameters for enhanced strength and hardness.

Keywords:
Pareto boundarybrake pedalconformal cooling channelcycle timesequential approximate optimizationwarpage

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Area of Science:

  • Materials Science
  • Manufacturing Engineering
  • Polymer Engineering

Background:

  • Traditional automotive pedals use aluminum alloys, posing weight and manufacturing challenges.
  • Glass fiber-reinforced polymer composites offer potential for lighter, stronger automotive components.
  • Injection molding defects like warpage impact component performance and aesthetics.

Purpose of the Study:

  • To optimize injection molding process parameters for automotive polymer pedals.
  • To minimize warpage and reduce cycle time simultaneously.
  • To enhance mechanical properties such as strength and hardness through controlled fiber orientation.

Main Methods:

  • Multi-objective optimization using flow simulation and response surface methodology.
  • Analysis of injection factors including filling time, pressure, melt temperature, and cooling time.
  • Application of Pareto boundary and radial-basis-function networks for optimization.
  • Sequential Approximate Optimization (SAO) with added sampling points to improve accuracy.

Main Results:

  • Identified four key parameters significantly influencing warpage and cycle time.
  • Achieved a global optimal solution for warpage under various cooling times.
  • Demonstrated a significant reduction in weight (over 50%) compared to aluminum pedals.
  • Improved strength and hardness by adjusting fiber orientation.

Conclusions:

  • The developed multi-objective optimization method effectively reduces injection molding defects in automotive polymer pedals.
  • Optimized fiber orientation and process parameters lead to lighter, stronger, and dimensionally stable components.
  • The study provides a framework for optimizing complex manufacturing processes with competing objectives.