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  • CTRL ALT FTC
  • Why Control Theory is A Must Have
  • Introduction to Open Loop Control
  • Introduction to Closed Loop Control
  • The PID Controller
    • The Proportional Term
    • The Integral Term
    • The Derivative Term
    • Tuning Methods of A PID Controller
    • Improvements to the PID Controller
  • Feedforward Control
  • Advanced
    • Full State Feedback
    • The Kalman Filter
    • Gain Scheduling
    • Motion Profiling
    • SMARTDAMP Algorithm
  • Continued Learning
    • Extra Resources
    • Video Tutorials
    • Glossary
  • Practical Examples
    • FTC Motor Control
    • Drivetrain Control
    • Dealing with Angles
    • Roadrunner Control Explained
  • Homeostasis Library
    • What is Homeostasis?
    • Installation
    • Included Controllers
    • State Estimation and Filters
    • Systems in Homeostasis
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Why Control Theory is A Must Have

What are control systems, and why do we use them?

Why Controls?

Control theory is a field of engineering that deals with designing controllers (typically implemented in software) to move a system to the desired state. Some systems are easy to control, some are difficult to control, and some are even impossible to control. Knowing which systems to design for and implementing a controller for them is a crucial skill that proves useful in many real-world jobs. It enables your robot to perform more reliably and efficiently. Implementing robust controls in your robot not only improves autonomous performance but also provides the peace of mind that your robot will behave as expected.

Last updated 1 year ago

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