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Model predictive control for a class of systems with isolated nonlinearity.
ISA Trans 2014; 53(4):1343-9IT

Abstract

The paper is concerned with an overall convergent nonlinear model predictive control design for a kind of nonlinear mechatronic drive systems. The proposed nonlinear model predictive control results in the improvement of regulatory capacity for reference tracking and load disturbance rejection. The design of the nonlinear model predictive controller consists of two steps: the first step is to design a linear model predictive controller based on the linear part of the system at each sample instant, then an overall convergent nonlinear part is added to the linear model predictive controller to combine a nonlinear controller using error driven. The structure of the proposed controller is similar to that of classical PI optimal regulator but it also bears a set-point feed forward control loop, thus tracking ability and disturbance rejection are improved. The proposed method is compared with the results from recent literature, where control performance under both model match and mismatch cases are enlightened.

Authors+Show Affiliations

Ningbo Institute of Technology, Zhejiang University, Ningbo 315100, PR China. Electronic address: tjl810@126.com.Ningbo Institute of Technology, Zhejiang University, Ningbo 315100, PR China.Ningbo Institute of Technology, Zhejiang University, Ningbo 315100, PR China.

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

24755053

Citation

Tao, Jili, et al. "Model Predictive Control for a Class of Systems With Isolated Nonlinearity." ISA Transactions, vol. 53, no. 4, 2014, pp. 1343-9.
Tao J, Zhu Y, Fan Q. Model predictive control for a class of systems with isolated nonlinearity. ISA Trans. 2014;53(4):1343-9.
Tao, J., Zhu, Y., & Fan, Q. (2014). Model predictive control for a class of systems with isolated nonlinearity. ISA Transactions, 53(4), pp. 1343-9. doi:10.1016/j.isatra.2014.03.019.
Tao J, Zhu Y, Fan Q. Model Predictive Control for a Class of Systems With Isolated Nonlinearity. ISA Trans. 2014;53(4):1343-9. PubMed PMID: 24755053.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Model predictive control for a class of systems with isolated nonlinearity. AU - Tao,Jili, AU - Zhu,Yong, AU - Fan,Qinru, Y1 - 2014/04/19/ PY - 2013/12/24/received PY - 2014/03/20/revised PY - 2014/03/26/accepted PY - 2014/4/24/entrez PY - 2014/4/24/pubmed PY - 2014/4/24/medline KW - Mechatronic drive systems KW - Model predictive control KW - Overall convergent control strategy KW - State space control SP - 1343 EP - 9 JF - ISA transactions JO - ISA Trans VL - 53 IS - 4 N2 - The paper is concerned with an overall convergent nonlinear model predictive control design for a kind of nonlinear mechatronic drive systems. The proposed nonlinear model predictive control results in the improvement of regulatory capacity for reference tracking and load disturbance rejection. The design of the nonlinear model predictive controller consists of two steps: the first step is to design a linear model predictive controller based on the linear part of the system at each sample instant, then an overall convergent nonlinear part is added to the linear model predictive controller to combine a nonlinear controller using error driven. The structure of the proposed controller is similar to that of classical PI optimal regulator but it also bears a set-point feed forward control loop, thus tracking ability and disturbance rejection are improved. The proposed method is compared with the results from recent literature, where control performance under both model match and mismatch cases are enlightened. SN - 1879-2022 UR - https://www.unboundmedicine.com/medline/citation/24755053/Model_predictive_control_for_a_class_of_systems_with_isolated_nonlinearity_ L2 - https://linkinghub.elsevier.com/retrieve/pii/S0019-0578(14)00060-3 DB - PRIME DP - Unbound Medicine ER -