An Application of C/GMRES Model Predictive Control to a Diesel Engine Air Path System

Abstract

This paper considers an application of a C/GMRES-based model predictive control (MPC) method to a diesel engine air path system. The plant model is derived based on the physical first principle to explicitly take account of plant nonlinearities. Since the plant has unmeasurable states, we employ an extended Kalman filter to estimate them. Then we design a C/GMRES-MPC algorithm and apply it to a real engine. We demonstrate the effectiveness of the present method by showing experimental results using a real vehicle.

Current Tracking Control of Triple Active Bridge DC/DC Converter Under Varying DC-Bus Voltage Conditions

“…Fig. 8 indicates that each current of the proposed method reaches the command value with a similar asymptotic waveform as results of optimization calculation with equal weighting factors for I 2 and I 3 in ( 26) and (27). Fig.…”

“…The decoupling control method is an improved method of the multi-loop PI to solve the interference problem. The transient response of the proposed method is independent of the operating point because each current equally and asymptotically approaches the current command value according to the objective function (26) and (27). In contrast, the response of the decoupling compensator varies depending on the operating point.…”

“…4 shows an overview of the entire proposed control system. Since C/GMRES is a stabilization algorithm, an expanded system including an integrator is necessary to achieve tracking control [27]. Note that C/GMRES algorithm optimizes not ϕ itself but ∆ϕ because the stabilization algorithm behaves as a regulator.…”

“…(28) From the terminal cost (26) and the stage cost (27), the fundamental ratios are expressed as the following equation.…”