Integration with Feedback Control Architectures - 8.13 | 8. Integration of Sensors and Actuators in Robotic Systems | Robotics and Automation - Vol 1
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Integration with Feedback Control Architectures

8.13 - Integration with Feedback Control Architectures

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Interactive Audio Lesson

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Types of Feedback Loops

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Teacher
Teacher Instructor

Let's start our discussion on the different types of feedback loops. What do you think a position feedback loop is?

Student 1
Student 1

Is it about getting position data from sensors like encoders?

Teacher
Teacher Instructor

Exactly! The position feedback loop uses data from encoders or potentiometers to ensure accurate motion control. This ensures the robot knows its specific location.

Student 2
Student 2

What about a force feedback loop?

Teacher
Teacher Instructor

Good question! The force feedback loop adjusts grip strength dynamically using strain gauges or load cells. Why do you think this real-time adjustment is important?

Student 3
Student 3

To avoid damaging the objects it's gripping, right?

Teacher
Teacher Instructor

Exactly right! Lastly, environmental feedback uses sensors that measure factors like temperature and humidity. This helps the robot adapt based on its surroundings. Can anyone give an example of where we might use environmental feedback?

Student 4
Student 4

In a construction site where temperature affects material properties.

Teacher
Teacher Instructor

Very insightful! So we have position, force, and environmental loops working together in a robotic system.

Multi-loop Control Systems

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Teacher
Teacher Instructor

Let’s move on to multi-loop control systems. Can anyone explain what nested control loops might entail?

Student 1
Student 1

Is it like having one controller for a big task and then smaller controllers for specific parts?

Teacher
Teacher Instructor

Exactly! For example, in a robotic manipulator, a high-level controller could manage the overall tool path, while inner loops handle torque and speed at the joint level. Why do you think this is beneficial?

Student 2
Student 2

It allows for finer control over the robot’s movements.

Teacher
Teacher Instructor

Right! The granularity in control lets us achieve a more nuanced performance. Can anyone describe how this might function in an actual system?

Student 3
Student 3

In a robotic arm, the main controller might direct where the arm should go, while each joint's controller manages how quickly or slowly it moves.

Teacher
Teacher Instructor

Exactly! That’s a perfect illustration.

Implementation Using Embedded Systems

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Teacher
Teacher Instructor

Now, let’s talk about how we implement these control strategies using embedded systems. What role do you think Real-Time Operating Systems (RTOS) play?

Student 4
Student 4

They help manage the timing and priority of tasks within the robot, right?

Teacher
Teacher Instructor

Exactly! An RTOS allows for task prioritization, ensuring critical functions happen on time. Could someone explain what Direct Memory Access (DMA) is?

Student 1
Student 1

DMA lets devices communicate without using the CPU all the time, which speeds things up.

Teacher
Teacher Instructor

Absolutely! By offloading data transfers, the CPU can focus on more important tasks, enhancing overall responsiveness. Why is it crucial for sensor input?

Student 3
Student 3

Because sensors often need real-time data processing to respond accurately!

Teacher
Teacher Instructor

Correct! It’s this efficiency that makes our automation robust and reliable.

Introduction & Overview

Read summaries of the section's main ideas at different levels of detail.

Quick Overview

This section covers how feedback control architectures facilitate the interaction between sensors and actuators in robotic systems.

Standard

The section details the types of feedback loops, multi-loop control systems, and the implementation of these systems using embedded architectures to create efficient robotic systems that adapt to real-time feedback from their environment.

Detailed

Detailed Summary

This section focuses on how sensors and actuators in robotic systems are integrated through feedback control architectures. It introduces three main types of feedback loops:
- Position Feedback Loop: Utilizes encoders or potentiometers to provide position data essential for motion control.
- Force Feedback Loop: Employs strain gauges or load cells which dynamically adjust the grip strength of robotic components in real-time.
- Environmental Feedback: Relies on sensors measuring parameters such as temperature, humidity, and gas concentration to modulate the robot's operational behaviors effectively.

Additionally, the section discusses multi-loop control systems, emphasizing nested control loops where high-level controllers manage tool paths while inner loops monitor joint-level torque and speed. The implementation of these control systems is facilitated by embedded systems that utilize Real-Time Operating Systems (RTOS) for effective task prioritization, offering interrupt-driven sensing and actuation while employing Direct Memory Access (DMA) for efficient data handling without overwhelming the CPU. Together, these elements contribute to achieving precision and responsiveness in robotic operations.

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Audio Book

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Types of Feedback Loops

Chapter 1 of 3

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Chapter Content

• Position Feedback Loop: Encoder or potentiometer gives position data for motion control
• Force Feedback Loop: Strain gauge or load cell adjusts grip strength in real time
• Environmental Feedback: Temperature, humidity, gas concentration used for adjusting robot behavior

Detailed Explanation

This chunk discusses three different types of feedback loops that are essential for robotic control. A position feedback loop uses devices like encoders to measure the current position of a robot part and ensures it moves to the desired location precisely. A force feedback loop relies on sensors, such as strain gauges, to continuously monitor the force being applied and dynamically adjust the grip strength, ensuring objects are held firmly without crushing them. Lastly, environmental feedback allows the robot to perceive external conditions like temperature and humidity, enabling it to adapt its behavior accordingly, for example, slowing down in wet conditions.

Examples & Analogies

Imagine a smart thermostat in your home. It checks the temperature (environmental feedback), and if it becomes too hot, it adjusts the air conditioning to cool down the room. Similarly, robots use feedback loops to adjust their actions based on the data they receive from their sensors.

Multi-loop Control Systems

Chapter 2 of 3

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Chapter Content

• Nested control loops (e.g., position loop within a velocity loop)
• Example: In a robotic manipulator, a high-level controller governs the tool path, while inner loops manage joint-level torque and speed

Detailed Explanation

Multi-loop control systems involve multiple layers of control where one control loop operates within another. For instance, in robotic manipulators, the position loop sets the target position for the tool, while that position loop can operate within a velocity loop that determines how quickly the tool should move. This layered approach allows for more precise control of the robot's movements, as it can fine-tune not just where to go, but also how fast to get there and how much force to use at each joint.

Examples & Analogies

Think of a car's cruise control system. The cruise control itself sets the speed (an outer control), while within that, the engine responds by adjusting the throttle (an inner control) to maintain the set speed. Just as the car adjusts to maintain a steady speed despite changes in the road, robots use multi-loop systems to maintain accuracy in their tasks.

Implementation Using Embedded Systems

Chapter 3 of 3

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Chapter Content

• RTOS (Real-Time Operating System): For task prioritization and scheduling
• Interrupt-driven sensing and actuation
• Use of DMA (Direct Memory Access) for high-speed sensor input without CPU load

Detailed Explanation

Implementing feedback control in robotics often requires embedded systems that can handle multiple tasks simultaneously and efficiently. A Real-Time Operating System (RTOS) is used to prioritize tasks to ensure that critical operations, such as monitoring sensor data or driving actuators, happen without delay. Interrupt-driven sensing allows the system to respond instantly to changes in sensor data, effectively interrupting other tasks if necessary. Furthermore, using Direct Memory Access (DMA) enhances performance by allowing sensor data to be transferred to memory without burdening the CPU, enabling the system to process other tasks more efficiently.

Examples & Analogies

Consider how a busy restaurant operates. The kitchen staff (the embedded system) must manage multiple orders (tasks) and prioritize them based on urgency (RTOS). If a table suddenly needs their order faster (interrupt-driven), the staff can quickly adjust. Just like this kitchen can streamline its workflow, robotic systems can prioritize tasks while effectively handling multiple inputs simultaneously.

Key Concepts

  • Feedback Loop: A mechanism for improving system performance using output data.

  • Position Feedback Loop: A system that uses sensor data to control motion.

  • Force Feedback Loop: Measures force to adjust grip strength.

  • Environmental Feedback: Reactive adjustments based on environmental readings.

  • Multi-loop Control Systems: Nested control schemes providing detailed control.

  • Embedded Systems: Dedicated computing systems for specific tasks.

  • RTOS: Manages real-time tasks in robotic systems.

  • DMA: Facilitates direct data access without CPU overload.

Examples & Applications

A robotic arm using position feedback to accurately place components in production.

An autonomous drone using environmental feedback to adjust its flight path based on wind conditions.

Memory Aids

Interactive tools to help you remember key concepts

🎵

Rhymes

In a loop, feedback helps us cope, enhancing systems, giving hope.

📖

Stories

Imagine a robot in a maze, sensing walls and adjusting ways, using feedback to find the path, it avoids mistakes and saves its wrath.

🧠

Memory Tools

FEEDBACK: Force, Environmental, and Behavior loops Enhance Dynamic Adjustments in Kinetics.

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Acronyms

FBL = Feedback Loop; helps robots interact efficiently with their surroundings.

Flash Cards

Glossary

Feedback Loop

A control mechanism that uses the output of a system to adjust its input to improve the system's performance.

Position Feedback Loop

A feedback system that uses sensors to obtain position data for controlling the motion of robotic components.

Force Feedback Loop

A loop that measures the force exerted on a sensor to dynamically adjust grip strength during operation.

Environmental Feedback

Feedback based on environmental conditions such as temperature, humidity, or gas concentration, used to adapt robot behavior.

Multiloop Control Systems

Control architectures that involve multiple nested loops for detailed and coordinated control actions.

Embedded Systems

Specialized computing systems that perform dedicated functions within larger mechanical or electrical systems.

RTOS (RealTime Operating System)

An operating system that manages the timing of tasks to ensure real-time performance.

DMA (Direct Memory Access)

A feature that allows certain hardware subsystems to access main system memory independently of the CPU.

Reference links

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