Novel control strategy for non-minimum-phase unstable second order systems: generalised predictor based approach-Reference-Cited by-同舟云学术

Novel control strategy for non-minimum-phase unstable second order systems: generalised predictor based approach

Published:2021-04-20 Issue:0 Volume:0 Page:
ISSN:1934-2659
Container-title:Chemical Product and Process Modeling
language:en
Short-container-title:

Author:

Bhaskaran Anil¹,Ediga Chandramohan Goud¹,Ambati Seshagiri Rao¹

Affiliation:

1. Department of Chemical Engineering , National Institute of Technology , Warangal , 506 004 , Telangana , India

Abstract

Abstract A control structure based on generalized predictor is proposed to control non-minimum phase unstable second order processes with time delay. The scheme contains a predictor structure and a direct synthesis method based primary controller for servo tracking. The predictor structure consists of two filters acting on input and current output which are designed to provide noise attenuation and disturbance rejection. A set-point filter minimises the overshoot caused by the introduction of additional zeros of the controller in the overall closed loop transfer function so as to smooth the tracking performance. Different second order unstable time delay systems are considered and Integral Absolute Error (IAE) and Total Variation (TV) measures are used for comparing the performances quantitatively. The method is implemented experimentally on an inverted pendulum. The proposed predictive strategy is found to provide enhanced control performances in comparison to the existing literature methods.

Publisher

Walter de Gruyter GmbH

Subject

Modeling and Simulation,General Chemical Engineering

Link

https://www.degruyter.com/document/doi/10.1515/cppm-2020-0122/pdf

Reference21 articles.

1. Majhi, S, Atherton, DP. Obtaining controller parameters for a new Smith predictor using autotuning. Automatica 2000;36:1651–8. https://doi.org/10.1016/s0005-1098(00)00085-6.

2. Tan, W, Marquez, HJ, Chen, T. IMC design for unstable processes with time delays. J Process Contr 2003;13:203–13. https://doi.org/10.1016/s0959-1524(02)00058-6.

3. Hang, CC, Wang, Q, Yang, X. A modified smith predictor for a process with an integrator and long dead time. Ind Eng Chem Res 2003;42:484–9. https://doi.org/10.1021/ie010881y.

4. García, P, Albertos, P, Hägglund, T. Control of unstable non-minimum-phase delayed systems. J Process Contr 2006;16:1099–111. https://doi.org/10.1016/j.jprocont.2006.06.007.

5. Normey-Rico, JE, Camacho, EF. Unified approach for robust dead-time compensator design. J Process Contr 2009;19:38–47. https://doi.org/10.1016/j.jprocont.2008.02.003.