Table of Contents
Adaptive control techniques are methods used to improve the performance of feedback systems in environments where conditions change over time. These techniques enable systems to adjust their parameters automatically, maintaining stability and accuracy despite uncertainties or variations.
Basics of Adaptive Control
Adaptive control involves algorithms that modify controller parameters in real-time. Unlike fixed-parameter controllers, adaptive systems can respond to changes in system dynamics or external disturbances, ensuring consistent operation.
Types of Adaptive Control Techniques
- Model Reference Adaptive Control (MRAC): Uses a reference model to guide parameter adjustments.
- Self-Tuning Regulators (STR): Continuously estimates system parameters and updates control laws accordingly.
- Gain Scheduling: Changes controller gains based on operating conditions.
Applications of Adaptive Control
Adaptive control is used in various fields including aerospace, robotics, and process control. It is particularly useful in systems where parameters are uncertain or vary over time, such as aircraft autopilots or industrial manufacturing processes.