Overhung rotors are important for use in industrial turbo-machines. The effects of a lateral force can increase as a result of the rotor weight, misalignment, or the operating speed of the suspension system for which the rotor is carrying a transmission connection. In this paper, the reduction of vibration in supported lateral directions by varying control is discussed in a radial active magnetic bearing system (AMBS). An experimental test was conducted on the orbital response of an overhung rotor supported by an AMBS, to provide an alternative for improving precision. To simplify the system design, decoupling was achieved using a PID controller and harmonic disturbance compensator (HDC), which improved the rotating performance of an overhung active magnetic bearing (AMB) rotor system, using a frequency response function (FRF) approach and a description of the overhung rotor during normal operational conditions at unique frequencies. The experimental results show that the precision rotation, due to harmonic excitation of the shaft orbit, can be removed in real time using compensation signals using trigonometry. The compensation criteria for the changed run-up and coast-down consistently helped to maintain the rotational center in a central position. A reduction of up to 55% in vibration amplitude on average was achieved under appropriate conditions, and the significance of the overhung rotor symptoms faults were investigated.

The cargo box frame (CBF) is the main structure of a commercial vehicle designed to handle loads and components during travel. The chassis is subject to vibrations caused by rough roads and the components mounted on it. This study proposes a procedure for analyzing and validating CBF structures using a combination of non-destructive modal analysis and finite element analysis to investigate the vibration characteristics of the four-wheel CBF, including its natural frequency and mode shapes. The CBF’s response to various load conditions, including stress distribution and displacement, was analyzed. The results show that the actuation frequency can affect a truck’s chassis due to the CBF’s natural frequency falling within the excitation range. The resulting mode shape can improve CBF strength, reduce weight, identify defective welds, and determine optimal mounting locations based on the center of gravity (CG) for components such as side-swing doors and cold room panels.

This study presents a PMV-based heuristic rule control strategy for thermal comfort regulation in an electric airport bus air condi- tioning system. A full-scale experimental cabin was developed to emulate the thermal environment of an electric airport bus under controlled laboratory conditions. Key Environmental parameters, including air temperature, relative humidity, air velocity, and mean radiant temperature, were measured in real time to estimate the dynamic Predicted Mean Vote (PMV) index. The proposed controller used PMV error and the rate of change of PMV to determine discrete operating commands for the compressor, evaporator fan, and condenser fan through CAN Bus communication. Experimental evaluations were conducted to investigate the effects of control sampling rate, PMV control boundary, and feedback variable selection. The results showed that a 4 s/sample control updateinterval provided faster response and smoother PMV regulation than an 8 s/sample counterpart. A narrower PMV control boundary of 0 < PMV < +0.3 with PMVrₑ f = +0.15 significantly enhanced system stability and mitigated overshoot compared with a wider boundary of +0.3 < PMV < +0.5. A comparative performance analysis between temperature-based and PMV-based control further showed that conventional temperature regulation alone fails to guarantee guarantee acceptable thermal comfort. Under slightly different environmental conditions, the PMV-based strategy showed a clear tendency to reduce estimated energy consumption from 4.8035 kWh to 2.833 kWh, corresponding to an energy reduction trend of approximately 41%. These findings demonstrate the potential of PMV-based heuristic control for energy aware thermal comfort management in electric public transit applications.