An operation management device includes a state acquiring unit that acquires a measurement value of a first state amount indicating an operation state of a power generation plant, a state updating unit that updates an estimation value of a second state amount, which indicates the operation state of the power generation plant and is a state amount different from the first state amount, based on the measurement value of the first state amount, and a managing unit that manages the operation state of the power generation plant based on the estimation value of the second state amount.

This application discusses various ways to adjust the performance of a variable input control in accordance with previous use data. In some embodiments, the previous use data can be associated with particular users of the variable input control. In this way, a response provided by the user input control can be adjusted to accommodate particular patterns of use on a user by user basis. In some embodiments, the variable input control can take the form of an accelerator pedal of a vehicle. Performance of the accelerator pedal can be adjusted by changing an amount of engine power provided for a particular accelerator pedal position. The adjustment can arrange commonly utilized power settings in the middle of the accelerator pedal range of motion to make manipulation of the accelerator pedal more comfortable and convenient for each user of the accelerator pedal.

This application discusses various ways to adjust the performance of a variable input control in accordance with previous use data. In some embodiments, the previous use data can be associated with particular users of the variable input control. In this way, a response provided by the user input control can be adjusted to accommodate particular patterns of use on a user by user basis. In some embodiments, the variable input control can take the form of an accelerator pedal of a vehicle. Performance of the accelerator pedal can be adjusted by changing an amount of engine power provided for a particular accelerator pedal position. The adjustment can arrange commonly utilized power settings in the middle of the accelerator pedal range of motion to make manipulation of the accelerator pedal more comfortable and convenient for each user of the accelerator pedal.

An aero-engine full flight envelope model adaptive modification method based on a deep learning algorithm. A dynamic parallel compensator based on a recursive neural network is adopted to compensate the error of the original nonlinear model within the full flight envelope under the condition without aero-engine performance deterioration. A modifier based on a genetic algorithm is also adopted to conduct adaptive adjustment on correction coefficients of health parameters to be modified in the original nonlinear component-level model. The health parameters to be modified are determined by a multi-attribute decision algorithm based on integrated evaluation. The sum of the modified nonlinear component-level model output and the compensator output is consistent with the aero-engine operation test output data. This provides powerful support for the design of aero-engine control systems and fault diagnosis systems.

An aero-engine full flight envelope model adaptive modification method based on a deep learning algorithm. A dynamic parallel compensator based on a recursive neural network is adopted to compensate the error of the original nonlinear model within the full flight envelope under the condition without aero-engine performance deterioration. A modifier based on a genetic algorithm is also adopted to conduct adaptive adjustment on correction coefficients of health parameters to be modified in the original nonlinear component-level model. The health parameters to be modified are determined by a multi-attribute decision algorithm based on integrated evaluation. The sum of the modified nonlinear component-level model output and the compensator output is consistent with the aero-engine operation test output data. This provides powerful support for the design of aero-engine control systems and fault diagnosis systems.

A controller according to the present disclosure, in each combustion cycle that composes a change cycle, calculates the average .sub.n of control amounts from the first combustion cycle to the nth (1<=n<=N) combustion cycle and calculates the error .sub.n-.sub.o of the average .sub.n with respect to the average .sub.o of a reference normal population. Also, the controller sets both a positive threshold Z.sub./2*.sub.o/n.sup.1/2 and a negative threshold Z.sub./2*.sub.o/n.sup.1/2 based on the standard error .sub.o/n.sup.1/2 of the reference normal population in the case where the number of data is n. Then, the controller chooses an operation amount to be changed from a plurality of operation amounts, based on a comparison between a series of the errors .sub.n-.sub.o and a series of the positive thresholds Z.sub./2*.sub.o/n.sup.1/2 and a comparison between the series of the errors .sub.n-.sub.o and a series of the negative thresholds Z.sub./2*.sub.o/n.sup.1/2.

A controller according to the present disclosure, in each combustion cycle that composes a change cycle, calculates the average .sub.n of control amounts from the first combustion cycle to the nth (1<=n<=N) combustion cycle and calculates the error .sub.n-.sub.o of the average .sub.n with respect to the average .sub.o of a reference normal population. Also, the controller sets both a positive threshold Z.sub./2*.sub.o/n.sup.1/2 and a negative threshold Z.sub./2*.sub.o/n.sup.1/2 based on the standard error .sub.o/n.sup.1/2 of the reference normal population in the case where the number of data is n. Then, the controller chooses an operation amount to be changed from a plurality of operation amounts, based on a comparison between a series of the errors .sub.n-.sub.o and a series of the positive thresholds Z.sub./2*.sub.o/n.sup.1/2 and a comparison between the series of the errors .sub.n-.sub.o and a series of the negative thresholds Z.sub./2*.sub.o/n.sup.1/2.

Systems and methods for inhibiting implement-induced stall of a prime mover associated with a turf vehicle. In some embodiments, the vehicle includes an electronic controller (EC) adapted to monitor a speed of the prime mover and detect when the speed falls below a speed threshold. The EC is adapted to automatically disengage a power take-off (PTO) connecting the prime mover to the implement when the speed of the prime mover falls below this speed threshold.

Systems and methods for inhibiting implement-induced stall of a prime mover associated with a turf vehicle. In some embodiments, the vehicle includes an electronic controller (EC) adapted to monitor a speed of the prime mover and detect when the speed falls below a speed threshold. The EC is adapted to automatically disengage a power take-off (PTO) connecting the prime mover to the implement when the speed of the prime mover falls below this speed threshold.

The present disclosure relates to an engine in which compression and expansion is performed in the same cylinder. Also disclosed is a microprocessor for controlling the state of various valves in the cylinderincluding an intake valve, a transfer valve, and an exhaust valveto cause a compression or expansion to occur. A compression tank is provided for receiving, via the transfer valve, compressed air, which may be retrieved during an expansion (combustion) cycle. Compressed air for from multiple consecutive compressions may be stored in the tank and retrieved later, including for multiple consecutive expansions. Compression and expansion are not required to occur in any fixed or predetermined pattern and the microprocessor may evaluate vehicle sensors to determine a power demand, and cause compression or expansion to occur depending on the given power demand.