The second way to improve efficiency would be to reduce the power consumption of the system.
Furthermore, our methodology integrates runtime optimization techniques to reduce the energy/power consumption of the system.
The energy consumption of the system is similar to that of the current SPALAX system.
Further, the energy consumption of the system is dependent on the decisions regarding task allocation and speed settings.
In addition to the cooling capacity, coefficient of performance (COP) and energy consumption of the system are also evaluated.
The structure design realizes decoupling control of heave compensation and automatic bit feed, reduces energy consumption of the system.
Numerical results indicate that the suboptimal design can reduce the power consumption of the system with acceptable performance degradation.
In this paper, Fuzzy Logic control has been applied to optimize the energy consumption of the system.
To achieve the best result, we choose a hybrid of electromagnets and permanent neodymium magnets to provide supporting force and use PID feedback loop to control the system so we can reduce the power consumption of the system.
The post layout simulations show that the total power consumption of the system is less than 260μW at 1.2 V power supply.
The electricity consumption of the system could increase by 6.8 8.0% over its functional life when operating for the warmer future climate.
