From 508b61d2a615f991390419e7c89b5fe3153fc239 Mon Sep 17 00:00:00 2001 From: Shankari02 Date: Fri, 21 Jun 2024 19:37:48 +0530 Subject: [PATCH] [Project]: Add LQR Balancer-Eklavya project (#220) * Added LQR Balancer eklavya project * Update index.html --- _projects/LQR_Balancer.md | 24 ++ _site/projects/LQR_Balancer/index.html | 289 +++++++++++++++++++++++++ _site/projects/index.html | 16 ++ 3 files changed, 329 insertions(+) create mode 100644 _projects/LQR_Balancer.md create mode 100644 _site/projects/LQR_Balancer/index.html diff --git a/_projects/LQR_Balancer.md b/_projects/LQR_Balancer.md new file mode 100644 index 0000000..c3c9390 --- /dev/null +++ b/_projects/LQR_Balancer.md @@ -0,0 +1,24 @@ +--- +layout: page +title: LQR Balancer +description: Self-balancing Wall-E using LQR +importance: 1 +--- + +| Project Domains | Mentors | Project Difficulty | +|-----------------------------------------------------------------|--------------------------------------------|--------------------| +| Control Systems, Embedded Systems | Nilay Seth, Shankari | Medium to Hard | + +
+ +### Project Description +Imagine the challenge of balancing Wall-E without relying on the conventional PID controller, but instead employing an advanced controller like LQR. +New to LQR? Let’s delve into what it entails. Linear Quadratic Regulators (LQR) stand out as optimal controllers renowned for their ability to effectively manage multiple control objectives within linear dynamic systems. Essentially, if we can describe our robot using a set of linear equations, LQR emerges as the go-to method for guiding the system towards a desired state with optimal efficiency. + +Delve deeper into the fascinating realm of Control Systems by exploring various other optimal controllers. By embarking on this journey, you can gain a comprehensive understanding of how these controllers operate and apply them to craft a custom control system for Wall-E, starting from scratch. +Take the opportunity to dive into the intricacies of coding and empowering Wall-E to perform tasks with precision and grace. + +### Resources + +[Outcome of the Project](https://www.youtube.com/watch?v=pSHgdceHq_I)
+[Closed loop Control](https://www.youtube.com/watch?v=O-OqgFE9SD4)
diff --git a/_site/projects/LQR_Balancer/index.html b/_site/projects/LQR_Balancer/index.html new file mode 100644 index 0000000..e508f8f --- /dev/null +++ b/_site/projects/LQR_Balancer/index.html @@ -0,0 +1,289 @@ + + + + + + + + + + + + + LQR Balancer | Eklavya 2024 + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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LQR Balancer

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Self-balancing Wall-E using LQR

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Project DomainsMentorsProject Difficulty
Control Systems, Embedded SystemsNilay Seth, ShankariMedium to Hard
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Project Description

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Imagine the challenge of balancing Wall-E without relying on the conventional PID controller, but instead employing an advanced controller like LQR. +New to LQR? Let’s delve into what it entails. Linear Quadratic Regulators (LQR) stand out as optimal controllers renowned for their ability to effectively manage multiple control objectives within linear dynamic systems. Essentially, if we can describe our robot using a set of linear equations, LQR emerges as the go-to method for guiding the system towards a desired state with optimal efficiency.

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Delve deeper into the fascinating realm of Control Systems by exploring various other optimal controllers. By embarking on this journey, you can gain a comprehensive understanding of how these controllers operate and apply them to craft a custom control system for Wall-E, starting from scratch. +Take the opportunity to dive into the intricacies of coding and empowering Wall-E to perform tasks with precision and grace.

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Resources

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Outcome of the Project
+Closed loop Control

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VoiceVideo-Manipulator

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LQR Balancer

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Self-balancing on Wall-E using LQR

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