By T. Zheng
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Additional resources for Advanced Model Predictive Control
A simpliﬁed but realistic simulation model with detailed component representations of diesel engine and DC electric motor (CIMG) will be used as a basis for deriving the hybrid model as discussed in the subsequent section. 3 Simpliﬁed hybrid diesel electric vehicle model Based on the state-space representation of both the diesel ICE and electric CIMG, given in Equation (19) and Equation (22), respectively, we can now build our simpliﬁed 4-state HEV model to demonstrate our proposed approach. A schematic representation of the simpliﬁed parallel hybrid diesel electric vehicle model is shown in Figure 3.
Architecture of Multi-agent Controller The basic structure of the control strategy proposed is shown in figure 2. The control problem to solve should be decomposed into supposedly independent subproblems. Each subproblem is solved by designing a controller-agent. The controller-agent is realized by some control algorithm that is operational only under particular operating conditions of the plant being controlled. Moreover, the controller-agent’s action consist of the analytical Fast Nonlinear Model Predictive Control using Second Order Volterra Models Based Multi-agent Approach 35 optimal control sequence elaborated in each sub-system after having learned the trajectory of the control to follow and by minimizing a local cost function.
Overton, M. (2001). A Mathematical View of Interior-point Methods in Convex Optimization, Society for Industrial & Applied Mathematics, USA. ; Di Cairano, S. V. (2009). chapter Hybrid Modeling, Identiﬁcation, and Predictive Control: An Application to Hybrid Electric Vehicle Energy Management, R. Majumdar and P. ), Proc. of the 12th International Conference on Hybrid Systems Computation ˝ and Control (HSCC 2009), Springer-Verlag Berlin Heidelberg, pp. 321U335. ; Sciarretta, A & Yohan Milhau. (2008).