Cascade Modeling and Intelligent Control Design for an Electromagnetic Guiding System
This study simulates lateral motion in magnetic levitation (maglev) transportation systems using a novel electromagnetic guiding device. First, current control modules, a pulse width modulation (PWM) controller, and a buck converter are used for driving electromagnets. The electromagnetic guiding system, which has two current control modules, a gap controller and a bipolar switching device, controls the gap between the moving platform and the rail. A cascade dynamic model, which has a current control module, electromagnet, and moving platform, is established. Based on the dynamic model, a novel cascade sliding mode controller is designed successfully. Finally, to eliminate the sensitivity of the proposed control scheme to system parameters, a cascade sliding-mode-based genetic algorithm control scheme is utilized.
Abstract Although they create considerable economic benefits, industrial parks emit tremendous amounts of pollution and consume significant environmental resources. This investigation examines problems associated with managing an industrial park. It begins by defining an industrial park system and its sustainability. Next, using systems thinking, managing for results, driving-force-pressure-state-impact-response, and system dynamics, we develop a management framework and an indicator system. A framework with triple decision layers is established to link the management of an industrial park with its manufactories. Based on this framework, proposed indicators and their driving force–pressure–state–impact–response relationships are integrated into an optimization model to maximize sustainability, so that sustainability of an industrial park is assessed as total quantity management is performed. A prototype of a total quantity and sustainability management strategy for industrial parks is developed, based on ...