Optimal control of nonlinear systems: a predictive control approach
By Wen‐Hua Chen, D. Ballance, Peter J. Gawthrop. at - Automatisierungstechnik, 2003
412 citations recorded by the source corpus.
A new nonlinear predictive control law for a class of multivariable nonlinear systems is presented in this paper. It is shown that the closed-loop dynamics under this nonlinear predictive controller explicitly depend on design parameters (prediction time and control order). The main features of this result are that an explicitly analytical form of the optimal predictive controller is given, on-line optimisation is not required, stability of the closed-loop system is guaranteed, the whole design procedure is transparent to designers and the resultant controller is easy to implement. By establishing the relationship between the design parameters and time-domain transient, it is shown that the design of an optimal generalised predictive controller to achieve desired time-domain specifications for nonlinear systems can be performed by looking up tables. The design procedure is illustrated by designing an autopilot for a missile.
Subfields: Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/c49177135712576b80cc682979664e9e0f68dc6e
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In Control and Systems Engineering
Citations in the corpus
- Speed Control for PMSM Servo System Using Predictive Functional Control and Extended State Observer (2012, background): “It can be regarded as a kind of optimal control methods, which employs a dynamic model of plant to forecast the future behavior of states and determines the future control action according to optimization of a certain performance target function or an operating cost function at each sampling time [1”
- Continuous-Time Wiener-Model Predictive Control of a pH Process (2007, background): “On the other hand, in [2] the predictive control law was formulated in continuous-time domain and given in an explicitly analytical form.”