Control of the inverse pendulum based on sliding mode and model predictive control

Research output: Journal contributionsJournal articlesResearchpeer-review

Standard

Control of the inverse pendulum based on sliding mode and model predictive control. / Schwab, Karl Christian; Schräder, Lennart; Mercorelli, Paolo et al.
In: WSEAS Transactions on Systems and Control, Vol. 13, 60, 01.01.2018, p. 529-536.

Research output: Journal contributionsJournal articlesResearchpeer-review

Harvard

APA

Vancouver

Bibtex

@article{bec76ebe2f3e47f9a48d5d57cde95529,
title = "Control of the inverse pendulum based on sliding mode and model predictive control",
abstract = "In the present work two different rules are applied to the system of the inverse pendulum. On the one hand, Sliding Mode Control (SMC) is used to control the position and the angular velocity of the pendulum attached to the cart. On the other hand, Model Predictive Control (MPC) is implemented in order to control the trajectory of the cart in accordance with a desired movement profile. In order to counteract phenomena such as {"}chattering{"} as effectively as possible, various measures are implemented within the Sliding Mode Control.",
keywords = "Inverted pendulum, Model predictive Control, Sliding mode control, Underactuated system, Engineering",
author = "Schwab, {Karl Christian} and Lennart Schr{\"a}der and Paolo Mercorelli and Lassen, {Jan Thore}",
year = "2018",
month = jan,
day = "1",
language = "English",
volume = "13",
pages = "529--536",
journal = "WSEAS Transactions on Systems and Control",
issn = "1991-8763",
publisher = "World Scientific and Engineering Academy and Society - WSEAS",

}

RIS

TY - JOUR

T1 - Control of the inverse pendulum based on sliding mode and model predictive control

AU - Schwab, Karl Christian

AU - Schräder, Lennart

AU - Mercorelli, Paolo

AU - Lassen, Jan Thore

PY - 2018/1/1

Y1 - 2018/1/1

N2 - In the present work two different rules are applied to the system of the inverse pendulum. On the one hand, Sliding Mode Control (SMC) is used to control the position and the angular velocity of the pendulum attached to the cart. On the other hand, Model Predictive Control (MPC) is implemented in order to control the trajectory of the cart in accordance with a desired movement profile. In order to counteract phenomena such as "chattering" as effectively as possible, various measures are implemented within the Sliding Mode Control.

AB - In the present work two different rules are applied to the system of the inverse pendulum. On the one hand, Sliding Mode Control (SMC) is used to control the position and the angular velocity of the pendulum attached to the cart. On the other hand, Model Predictive Control (MPC) is implemented in order to control the trajectory of the cart in accordance with a desired movement profile. In order to counteract phenomena such as "chattering" as effectively as possible, various measures are implemented within the Sliding Mode Control.

KW - Inverted pendulum

KW - Model predictive Control

KW - Sliding mode control

KW - Underactuated system

KW - Engineering

UR - http://www.scopus.com/inward/record.url?scp=85061224807&partnerID=8YFLogxK

UR - http://wseas.org/wseas/cms.action?id=18776

M3 - Journal articles

AN - SCOPUS:85061224807

VL - 13

SP - 529

EP - 536

JO - WSEAS Transactions on Systems and Control

JF - WSEAS Transactions on Systems and Control

SN - 1991-8763

M1 - 60

ER -

Documents

Links

Recently viewed

Publications

  1. Learning Analytics with Matlab Grader in Undergraduate Engineering Courses
  2. Appendix A: Design, implementation, and analysis of the iGOES project
  3. Supporting the Development and Implementation of a Digitalization Strategy in SMEs through a Lightweight Architecture-based Method
  4. Improved sensorimotor control is not connected with improved proprioception
  5. A guided simulated annealing search for solving the pick-up and delivery problem with time windows and capacity constraints
  6. How Much Tracking Is Necessary? - The Learning Curve in Bayesian User Journey Analysis
  7. Analyzing math teacher students' sensitivity for aspects of the complexity of problem oriented mathematics instruction
  8. Evaluation of Time/Phase Parameters in Frequency Measurements for Inertial Navigation Systems
  9. An analytical approach to evaluating bivariate functions of fuzzy numbers with one local extremum
  10. Effectiveness of a guided multicomponent internet and mobile gratitude training program - A pragmatic randomized controlled trial
  11. On the Nonlinearity Compensation in Permanent Magnet Machine Using a Controller Based on a Controlled Invariant Subspace
  12. Dynamic environment modelling and prediction for autonomous systems
  13. Analysis and Implementation of a Resistance Temperature Estimator Based on Bi-Polynomial Least Squares Method and Discrete Kalman Filter
  14. The Scalable Question Answering Over Linked Data (SQA) Challenge 2018
  15. Machine Learning and Knowledge Discovery in Databases
  16. 7th open challenge on question answering over linked data (QALD-7)
  17. Simulating X-ray beam energy and detector signal processing of an industrial CT using implicit neural representations
  18. Towards improved dispatching rules for complex shop floor scenarios - A genetic programming approach
  19. Modeling Conditional Dependencies in Multiagent Trajectories
  20. Enabling Road Condition Monitoring with an on-board Vehicle Sensor Setup
  21. Fixed-term Contracts and Wages Revisited Using Linked Employer-Employee Data from Germany
  22. Stability analysis of a linear model predictive control and its application in a water recovery process
  23. Building a process layer for business applications using the blackboard pattern
  24. Analyzing User Journey Data In Digital Health: Predicting Dropout From A Digital CBT-I Intervention
  25. Probabilistic approach to modelling of recession curves
  26. Study on the effects of tool design and process parameters on the robustness of deep drawing
  27. Identification of structure-biodegradability relationships for ionic liquids - clustering of a dataset based on structural similarity
  28. A Proposal for Integrating Theories of Complexity for Better Understanding Global Systemic Risks
  29. Changes in the Complexity of Limb Movements during the First Year of Life across Different Tasks
  30. Binary Random Nets I
  31. The learning net - an interactive representation of shared knowledge