The Linear Flexible Joint with Inverted Pendulum is an ideal way to introduce intermediate control concepts related to vibration analysis and resonance, encountered, for example, in linkages and mechanical transmissions. The experiment challenges students to design a state-feedback control system that can balance an inverted pendulum mounted on the linear flexible joint cart, while minimizing the spring deflection.
Linear Flexible Joint with Inverted Pendulum
The Linear Flexible Joint with Inverted Pendulum combines two fundamental control challenges to give students an opportunity to a more advanced modeling and control challenge.
QLabs Robotics is a collection of virtual laboratory activities that supplement traditional or online robotics courses. The virtual hardware labs are based on Quanser QArm robotic manipulator and QBot 2e mobile ground robot. The virtual twins of these robots are fully instrumented and dynamically accurate, allowing users to measure simulated sensors, including video and depth data, interact with virtual environments, and work with the same code created for the "real" robots. With QLabs Robotics, you can combine physical and virtual plants to enrich your lectures and in-lab activities and increases engagement and students’ learning outcomes in class-based or online courses.
The Double Inverted Pendulum module is composed of a rotary arm that attaches to the Rotary Servo Base Unit, a short 7-inch bottom blue rod, an encoder hinge, and the top 12-inch blue rod. The balance control computes a voltage based on the angle measurements from the encoders. This control voltage signal is amplified and applied to the Servo motor. The rotary arm moves accordingly to balance the two links and the process repeats itself.
The experiment is reconfigurable for various aerospace systems, from 1 DOF and 2 DOF helicopter to half-quadrotor. Integrating Quanser-developed QFLEX 2 computing interface technology, the Quanser AERO also offers flexibility in lab configurations, using a PC, or microcontrollers, such as NI myRIO, Arduino and Raspberry Pi. With the comprehensive course materials included, you can build a state-of-the-art teaching lab for your mechatronics or control courses, engage students in various design and capstone projects, and validate your research concepts on a high-quality, robust, and precise platform.
The Linear Motion Control Lab is one of the most popular, flexible and modular solutions for teaching controls. Based on the world’s leading turn-key platform for controls education, it is designed to help engineering educators reach a new level of efficiency and effectiveness in teaching controls.
The 2 DOF Ball Balancer module consists of a plate on which a ball can be placed and is free to move. Two Rotary Servo Base Units are connected to the sides of the plate using 2 DOF gimbals. The plate can swivel about in any direction. By controlling the position of the servo load gears, the tilt angle of the plate can be adjusted to balance the ball to a desired planar position. The digital camera mounted overhead captures two-dimensional images of the plate and track coordinates of the ball in real time. Images are transferred quickly to the PC via a FireWire connection. Students can make the ball track various trajectories (a circle, for example), or even stabilize the ball when it is thrown onto the plate using the controller provided with the experiment.
QLabs Controls is a collection of virtual laboratory activities that supplement traditional or online control systems courses. The virtual hardware labs are based on Quanser QUBE-Servo 2 and Quanser AERO systems which allows you to combine physical and virtual plants to enrich lectures and in-lab activities and increases engagement and students’ learning outcomes in class-based or online courses.
Same as the physical Quanser AERO, the virtual system is a dual-rotor helicopter model that can be reconfigured for 1 DOF attitude, 2 DOF helicopter, or half-quadrotor experiments. Rotary encoders measure the angular position of the propeller DC motors, the speed of the motors is measured through a software-based tachometer.