In dealing with model predictive controllers (MPC), controller tuning is a key design step. Various tuning methods are proposed in the literature which can be categorized as heuristic, numerical and analytical methods. Among the available tuning methods, analytical approaches are more interesting and useful. This paper is based on a proposed analytical MPC tuning approach for plants can be appr...

Typical production objectives in distillation process require the delivery of products whose compositions meet certain specifications. The distillation control system, therefore, must hold product compositions as near the set points as possible in faces of upset. In this project, inferential model predictive control, that utilizes an artificial neural network estimator and model predictive cont...

Loss-of-control is a major contributor to aircraft fatalities. Recent work has been done to develop quantitative criteria for determining loss-of-control from accident time history data. This work proposes an approach to estimating boundaries on control actions to provide information to pilots and/or control systems to assist in avoiding loss-of-control scenarios. Data-based predictive control ...

In this paper, the speed tracking problem of interior permanent magnet synchronous motor (IPMSM) an electric vehicle is studied. A cascade control strategy based on active disturbance rejection (ADRC) and a current improved duty cycle finite set model predictive (FCSMPC) are proposed, both which can reduce torque ripple as well computational burden. First all, in linearization process, some non...

hydropower plant and especially micro-hydropower plant is an available, reliable and economical energy source. micro-hydropower plant is one of the most environment-friendly technology, use and development of which leads to reduction of energy consumption sporadically and worldwide. along with the growth of these power plants, the issues related to the control of electrical parameters such as l...

The excursion of maximum power point always exists due to nonlinear and time-varying characteristics of photovoltaic (PV) generation. To solve this problem, the maximum power point tracking (MPPT) control strategy based on generalized predictive control (GPC) is put forward. Firstly, the theory and feature of PV cell is analyzed, and the MPPT control model is constituted based on Boost circuit....