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The stack temperature plays a major role in ensuring highly reliable and efficient operations of the fuel cell system, and it directly affects the rate of chemical reactions and transport of water and reactants. In the fuel cell system for switcher locomotive, the thermal circuit consists of the stack, a bypass valve, a radiator with a fan, a coolant pump, and connecting pipes. In this paper, the...
In this paper, we consider the stability issue of economic model predictive control (EMPC) with generalized terminal constraint for constrained nonlinear systems and present a contractive constraint formulation with guaranteed recursive feasibility and stability. This formulation is one of Lyapunov-based approaches in which an auxiliary cost function chosen a priori can be used as a contractive Lyapunov...
This paper focuses on a 9-DOF manipulator system composed of a gantry and small-sized manipulators. For the multi-input multi-output (MIMO) high dimensional model with joint constraints, an algorithm based on Model Predictive Control (MPC) is proposed for the trajectory planning with redundancy. All of the joints are classified into different movement priority according to their motion range and positioning...
For the system with both polytopic uncertainty and bounded disturbance, an improved off-line approach to dynamic output feedback robust model predictive control for an ellipsoidal estimation error set is considered. To reduce the on-line computational burden, a look-up table is constructed off-line for on-line searching the real-time controller parameters. In the off-line optimization stage, for the...
In this paper, for a discrete-time linear system with model parametric uncertainty and disturbance which are norm-bounded, an output feedback model predictive control (MPC) is considered. This paper applies the procedure of [Dynamic output feedback MPC for LPV systems via near-optimal solution, Proceedings of CCC2011] and the ellipsoidal estimation error set refreshment technique in [Dynamic output...
This paper mainly outline the control problem of the turbo-charging unit of the pressurized marine boiler. Unlike the conventional marine boiler, the biggest difference of the pressurized marine boiler is the turbo-charging unit it is have. The turbo-charging unit is the key part of the pressurized marine boiler and its function is to supply the steam power plant enough air to make sure the sufficient...
This paper presents a design strategy of adaptive model predictive control for discrete-time nonlinear systems. The nonlinear model to be considered is comprised of a known dynamic part and the rest unknown part. The unknown dynamic is approximated by second-order differential method instead of the first-order linearization. Meanwhile, the corresponding coefficients for the modified model are adaptively...
This paper proposes a novel method to analyze performance features of linear model predictive control (MPC) systems with input saturation. The performance of MPC is compared with that of saturated control to find out how well MPC can perform under input saturation case. By exploring the properties of Riccati difference equation (RDE) and geometric structure of linear MPC, upper and lower bounds of...
This paper develops an improved model predictive controller (MPC) for the dynamic positioning system of vessels by using the Laguerre functions. The set of Laguerre networks is introduced to describe the future control increment trajectory, which has fewer parameter to adjust. The improved model predictive controller have the advantages of the traditional model predictive control, which has the good...
In this paper we present an approach for modeling and control of the unsteady flow over a circular cylinder at a low Reynolds number (Re = 60). Actuation is achieved by rotating the cylinder and the measured variable is the vertical velocity at a specific point of the center line behind the cylinder. Instead of using the Navier-Stokes equation (NSE) for control synthesis, a linear ARMAX (Auto Regressive...
Regenerative braking control technology of electric vehicle plays a vital role in automotive energy-saving and environmental protection. Actually, there are two important aspects included in regenerative braking control. First and foremost is to maintain the vehicle safety during the braking process, and secondly is to maximize the energy recovery and minimize the energy consumption as far as possible...
Due to complement characteristics of battery and supercapacitor, battery-supercapacitor combined energy storage systems show obvious superiority over these systems consisted of single supply of battery or supercapacitor. In this paper, a model predictive control based energy management approach is proposed to maintain the hybrid power supply performance of the system. The control strategy can prolong...
In this paper, a new control strategy is presented to manage the amount of energy that is generated by wind farm plant and sold to the electricity market. Contributions of this study are two-fold: (1) this control method empowers the operator to make a balance between energy supply and demand in a profitable way using battery storage; and (2) it reduces the fluctuation of supplied wind power and make...
With the lack of dc-link capacitor in the direct matrix converter, the disturbance in the output will be immediately reflected in the input. The four-leg direct matrix converter can fed an unbalanced three-phase load. Feeding unbalanced loads leads to input current distortion. In this paper, a simple method known as model predictive control for regulating the current reference of four-leg direct matrix...
Active safety systems have been identified as an effective technique for avoiding accidents. In this paper, in order to effectively avoid potential collisions, an active safety system consists of a motion planner and MPC-based active front steering and individual wheel force control is presented. The motion planner generates a polynomial parameterization trajectory for avoidance maneuver. Its analytical...
Considering a two-connected vehicles system on urban roads, this paper proposes a novel multi-performance model predictive cruise control strategy to drive the host vehicle efficiently. The cruise performances mainly consist of fuel economy, tracking capability, ride comfort and safety driving, which are conflicting. The notion of utopia points of multi-objective is used to reconcile these performances...
In order to overcome modeling accuracy restriction in robot control, a sort of visual predictive control algorithm is proposed. The predictive model is based on image Jacobian matrix, which is estimated on-line through Kalman filtering. The tricky problem of constraint handling is taken into account, such as mechanical constraint and visibility constraint. The validity of the algorithm is illustrated...
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