### Abstract

As the demands for accuracy and throughput in industrial positioning systems are increasing, classical control of ironless linear motors (ILMs) is facing its limit. Classical control scheme of an ILM typically consists of a simple sinusoidal commutation algorithm and a PID feedback controller. Classical commutation cannot compensate for parasitic effects, while classical PID feedback controller cannot guarantee constraints satisfaction. This problem can be addressed by replacing classical commutation with optimal commutation and PID controller with linear model predictive controller (LMPC). However, this LMPC and optimal commutation scheme requires solving two separate optimization problems, which is not optimal and can lead to infeasibility. In this paper we present a nonlinear model predictive control (NMPC) scheme for ILMs. The scheme requires solving only a single optimization problem. It can guarantee constraints satisfaction and is capable of compensating for parasitic forces. Simulation results are presented for demonstration.

Language | English |
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Title of host publication | 2018 IEEE Conference on Control Technology and Applications, CCTA 2018 |

Place of Publication | Piscataway |

Publisher | Institute of Electrical and Electronics Engineers |

Pages | 927-932 |

Number of pages | 6 |

ISBN (Electronic) | 978-1-5386-7698-1 |

ISBN (Print) | 978-1-5386-7699-8 |

DOIs | |

State | Published - 21 Aug 2018 |

Event | 2nd IEEE Conference on Control Technology and Applications, CCTA 2018 - Copenhagen, Denmark Duration: 21 Aug 2018 → 24 Aug 2018 Conference number: 2 http://ccta2018.ieeecss.org/ |

### Conference

Conference | 2nd IEEE Conference on Control Technology and Applications, CCTA 2018 |
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Abbreviated title | CCTA 2018 |

Country | Denmark |

City | Copenhagen |

Period | 21/08/18 → 24/08/18 |

Internet address |

### Fingerprint

### Cite this

*2018 IEEE Conference on Control Technology and Applications, CCTA 2018*(pp. 927-932). [8511445] Piscataway: Institute of Electrical and Electronics Engineers. DOI: 10.1109/CCTA.2018.8511445

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*2018 IEEE Conference on Control Technology and Applications, CCTA 2018.*, 8511445, Institute of Electrical and Electronics Engineers, Piscataway, pp. 927-932, 2nd IEEE Conference on Control Technology and Applications, CCTA 2018, Copenhagen, Denmark, 21/08/18. DOI: 10.1109/CCTA.2018.8511445

**Nonlinear model predictive control of ironless linear motors.** / Nguyen, Tuan T.; Lazar, Mircea; Butler, Hans.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Nonlinear model predictive control of ironless linear motors

AU - Nguyen,Tuan T.

AU - Lazar,Mircea

AU - Butler,Hans

PY - 2018/8/21

Y1 - 2018/8/21

N2 - As the demands for accuracy and throughput in industrial positioning systems are increasing, classical control of ironless linear motors (ILMs) is facing its limit. Classical control scheme of an ILM typically consists of a simple sinusoidal commutation algorithm and a PID feedback controller. Classical commutation cannot compensate for parasitic effects, while classical PID feedback controller cannot guarantee constraints satisfaction. This problem can be addressed by replacing classical commutation with optimal commutation and PID controller with linear model predictive controller (LMPC). However, this LMPC and optimal commutation scheme requires solving two separate optimization problems, which is not optimal and can lead to infeasibility. In this paper we present a nonlinear model predictive control (NMPC) scheme for ILMs. The scheme requires solving only a single optimization problem. It can guarantee constraints satisfaction and is capable of compensating for parasitic forces. Simulation results are presented for demonstration.

AB - As the demands for accuracy and throughput in industrial positioning systems are increasing, classical control of ironless linear motors (ILMs) is facing its limit. Classical control scheme of an ILM typically consists of a simple sinusoidal commutation algorithm and a PID feedback controller. Classical commutation cannot compensate for parasitic effects, while classical PID feedback controller cannot guarantee constraints satisfaction. This problem can be addressed by replacing classical commutation with optimal commutation and PID controller with linear model predictive controller (LMPC). However, this LMPC and optimal commutation scheme requires solving two separate optimization problems, which is not optimal and can lead to infeasibility. In this paper we present a nonlinear model predictive control (NMPC) scheme for ILMs. The scheme requires solving only a single optimization problem. It can guarantee constraints satisfaction and is capable of compensating for parasitic forces. Simulation results are presented for demonstration.

UR - http://www.scopus.com/inward/record.url?scp=85056898565&partnerID=8YFLogxK

U2 - 10.1109/CCTA.2018.8511445

DO - 10.1109/CCTA.2018.8511445

M3 - Conference contribution

SN - 978-1-5386-7699-8

SP - 927

EP - 932

BT - 2018 IEEE Conference on Control Technology and Applications, CCTA 2018

PB - Institute of Electrical and Electronics Engineers

CY - Piscataway

ER -