Nonholonomic mobile robots' trajectory tracking model predictive control: a survey
Model predictive control (MPC) theory has gained attention with the recent increase in the processing power of computers that are now able to perform the needed calculations for this technique. This kind of control algorithms can achieve better results in trajectory tracking control of mobile robots...
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| Published in | Robotica Vol. 36; no. 5; pp. 676 - 696 |
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| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Cambridge, UK
Cambridge University Press
01.05.2018
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| Subjects | |
| Online Access | Get full text |
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| Abstract | Model predictive control (MPC) theory has gained attention with the recent increase in the processing power of computers that are now able to perform the needed calculations for this technique. This kind of control algorithms can achieve better results in trajectory tracking control of mobile robots than classical control approaches. In this paper, we present a review of recent developments in trajectory tracking control of mobile robot systems using model predictive control theory, especially when nonholonomicity is present. Furthermore, we point out the growth of the related research starting with the boom of mobile robotics in the 90s and discuss reported field applications of the described control problem. The objective of this paper is to provide a unified and accessible presentation, placing the classical model, problem formulations and approaches into a proper context and to become a starting point for researchers who are initiating their endeavors in linear/nonlinear MPC applied to nonholonomic mobile robots. Finally, this work aims to present a comprehensive review of the recent breakthroughs in the field, providing links to the most interesting and successful works, including our contributions to state-of-the-art. |
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| AbstractList | SUMMARYModel predictive control (MPC) theory has gained attention with the recent increase in the processing power of computers that are now able to perform the needed calculations for this technique. This kind of control algorithms can achieve better results in trajectory tracking control of mobile robots than classical control approaches. In this paper, we present a review of recent developments in trajectory tracking control of mobile robot systems using model predictive control theory, especially when nonholonomicity is present. Furthermore, we point out the growth of the related research starting with the boom of mobile robotics in the 90s and discuss reported field applications of the described control problem. The objective of this paper is to provide a unified and accessible presentation, placing the classical model, problem formulations and approaches into a proper context and to become a starting point for researchers who are initiating their endeavors in linear/nonlinear MPC applied to nonholonomic mobile robots. Finally, this work aims to present a comprehensive review of the recent breakthroughs in the field, providing links to the most interesting and successful works, including our contributions to state-of-the-art. Model predictive control (MPC) theory has gained attention with the recent increase in the processing power of computers that are now able to perform the needed calculations for this technique. This kind of control algorithms can achieve better results in trajectory tracking control of mobile robots than classical control approaches. In this paper, we present a review of recent developments in trajectory tracking control of mobile robot systems using model predictive control theory, especially when nonholonomicity is present. Furthermore, we point out the growth of the related research starting with the boom of mobile robotics in the 90s and discuss reported field applications of the described control problem. The objective of this paper is to provide a unified and accessible presentation, placing the classical model, problem formulations and approaches into a proper context and to become a starting point for researchers who are initiating their endeavors in linear/nonlinear MPC applied to nonholonomic mobile robots. Finally, this work aims to present a comprehensive review of the recent breakthroughs in the field, providing links to the most interesting and successful works, including our contributions to state-of-the-art. |
| Author | Dórea, Carlos E. T. Nascimento, Tiago P. Gonçalves, Luiz Marcos G. |
| Author_xml | – sequence: 1 givenname: Tiago P. orcidid: 0000-0002-9319-2114 surname: Nascimento fullname: Nascimento, Tiago P. email: tiagopn@ci.ufpb.br organization: †Embedded Systems and Robotics Lab (LaSER), Computer Systems Department, Federal University of Paraíba (UFPB), Brazil – sequence: 2 givenname: Carlos E. T. surname: Dórea fullname: Dórea, Carlos E. T. email: cetdorea@dca.ufrn.br organization: ‡Computer and Automation Engineering Department, Federal University of Rio Grande do Norte (UFRN), Brazil. E-mails: cetdorea@dca.ufrn.br, lmarcos@dca.ufrn.br – sequence: 3 givenname: Luiz Marcos G. surname: Gonçalves fullname: Gonçalves, Luiz Marcos G. email: cetdorea@dca.ufrn.br organization: ‡Computer and Automation Engineering Department, Federal University of Rio Grande do Norte (UFRN), Brazil. E-mails: cetdorea@dca.ufrn.br, lmarcos@dca.ufrn.br |
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| Snippet | Model predictive control (MPC) theory has gained attention with the recent increase in the processing power of computers that are now able to perform the... SUMMARYModel predictive control (MPC) theory has gained attention with the recent increase in the processing power of computers that are now able to perform... |
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| SubjectTerms | Computer simulation Control algorithms Control theory Formulations Mathematical models Predictive control Robot control Robots Tracking control Trajectory control |
| Title | Nonholonomic mobile robots' trajectory tracking model predictive control: a survey |
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