Abstract
By combining dynamical feature of objects with requirements of control performance, predictive model uses a second order slow time varying linear model to characterize original controlled station. This paper introduces a way to establish a category of predictive models of nonlinear objects and lead this kind of model into predictive functional control (PFC) so then obtain nonlinear PFC arithmetic based on characteristic model. We successfully avoid the problem of online identification of slow time varying parameters by setting parameter interval, thereby this kind of control arithmetic is typical of easy operation, high speed and wide applicability in comparison with traditional PFC. Finally this paper offers applied living examples by considering temperature control problem of continuous stirring tank reactor(CSTR).
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Wu, H.X.: Intelligent Characteristic Model and Intelligent Control. Acta automatica sinica 28 Supp.1, 30–37 (2002)
Wu, H.X., Xie, Y.C., Li, Z.B., He, Y.Z.: Intelligent Control based on Description of Plant Characteristic Model. Acta automatica sinica 25(1), 9–17 (1999)
Wu, H.X., Wang, Y.C., Xing, Y.: Intelligent Control based on Intelligent Characteristic Model and its Application. SCIENCE IN CHINA (Series E) 32(6), 805–816 (2002)
Wu, H.X., Wang, Y., Xie, Y.C.: Nonlinear Golden Section Adaptive Control. Journal of Astronautics 23(6), 1–8 (2002)
Wu, H.X., Wang, Y., Xie, Y.C.: Characteristic Modeling and Control Method of Nonlinear System. Control Enginerring 6, 1–7 (2002)
Guo, J., Chen, Q.W., Zhu, R.J., He, W.L.: Adaptive Predictive Control of a Class of Nonlinear System. Control theory and Applications 19(1), 68–72 (2002)
Richalet, J., Doss, S.A., Arber, C., et al.: Predictive Functional Control: Applications to Fast and Accurate Robots. In: Isermann, R. (ed.) Automatic Control 10th Triennial World Congress of IFAC, pp. 251–258. Pergamon Press, Oxford (1988)
Richalet, J., Rault, A., Testud, J.L., Papon, J.: Model Predictive Heuristic Control: Application to Industrial Processes. Automatics 14(5), 413–428 (1978)
Wu, J.G., Zhang, P.J.: Study of Pure Time Delay System based on Predictive Functional Control. Process automation instrumentation 25(11), 8–10 (2004)
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© 2008 Springer-Verlag Berlin Heidelberg
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Zhang, P., Wu, J., Fei, M. (2008). The Research and Application of Nonlinear Predictive Functional Control Based on Characteristic Models. In: Huang, DS., Wunsch, D.C., Levine, D.S., Jo, KH. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues. ICIC 2008. Lecture Notes in Computer Science, vol 5226. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87442-3_95
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DOI: https://doi.org/10.1007/978-3-540-87442-3_95
Publisher Name: Springer, Berlin, Heidelberg
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