Advanced Suspension and Control Algorithm for U.S. Army Ground Vehicles

The air precooling system heat exchange process is a complex control system with features such as: nonlinear, lag and random interference. So choose Generalized Predictive Control Algorithm that has low model dependence, good robustness and control effect, as well as easy to implement. But due to the large amount of calculation of traditional generalized predictive control and can't juggle quickness and overshoot problem, an improved generalized predictive control algorithm is proposed, then carry out the MATLAB simulation, the experimental results show that the algorithm can not only greatly reduce the amount of computation, but also can restrain the overshoot and its rapidity.

Download Full-text

A force feedback joystick and control algorithm for wheelchair obstacle avoidance

Disability and Rehabilitation ◽

10.3109/09638289609166029 ◽

1996 ◽

Vol 18 (3) ◽

pp. 123-129 ◽

Cited By ~ 24

Author(s):

David M. Brienza ◽

Jennifer Angelo

Keyword(s):

Obstacle Avoidance ◽

Control Algorithm ◽

Force Feedback ◽

And Control

Download Full-text

Modelling and control of a photovoltaic energy system with battery storage

Proceedings of the 6th International Workshop on Simulation for Energy, Sustainable Development & Environment (SESDE 2018) ◽

10.46354/i3m.2018.sesde.009 ◽

2018 ◽

Author(s):

Carlos Y. García-Ramos ◽

Jose M. González-Cava ◽

José F. Gómez González ◽

Sara González Pérez

Keyword(s):

Energy Management ◽

Control Algorithm ◽

Hotel Industry ◽

Energy System ◽

Energy Management System ◽

Battery Storage ◽

Photovoltaic Generation ◽

Renewable Power ◽

First Results ◽

And Control

"This work presents a simulated study of the energy management of an energy system connected to the grid with photovoltaic generation and battery storage. The work proposes a energy management system based on fuzzy logic. It is intended to be used in the hotel industry. The objective of the proposed controller is to maximise the renewable power source but including also economic criteria in the management. The proposal was implemented in simulation considering a 5,1kW peak photovoltaic installation and a set of batteries with a capacity of 384Ah. First results obtained show that the system achieves the specifications proposed. Thus, the study evidences the potential of the proposed control algorithm and demonstrate the suitability of the use of intelligent techniques for the energy management in hotels."

Download Full-text