A fractional order Linear Active Disturbance Rejection Control (FOLADRC) system and a method thereof is disclosed. The FOLADRC system includes a fractional order state extended observer (FESO) controller circuit having a FESO controller. The FESO controller receives a process variable and plant output signal, estimates an input disturbance and an output disturbance and outputs disturbance cancelling feedback signals. The disturbance cancelling feedback signals are transmitted to multipliers present in a forward path of the FESO controller circuit. Further, the FESO controller has an observer gain vector and a cross over frequency bandwidth. The FESO controller incrementally changes the observer gain vector and the FESO controller bandwidth until a closed loop transfer function of the FESO controller converges, thus exhibiting an iso-damping property.

A probabilistic feedback controller for controlling an operation of a robotic system using a probabilistic filter subject to a structural constraint on an operation of the robotic system is configured to execute a probabilistic filter estimates a distribution of a current state of the robotic system given a previous state of the robotic system based on a motion model of the robotic system perturbed by stochastic process noise and a measurement model of the robotic system perturbed by stochastic measurement noise having an uncertainty modeled as a time-varying Gaussian process represented as a weighted combination of time-varying basis functions with weights defined by corresponding Gaussian distributions. The probabilistic filter recursively updates both the distribution of the current state of the robotic system and the Gaussian distributions of the weights of the basis functions selected to satisfy the structural constraint indicated by measurements of the state of a robotic system.

A shift detection system and method may monitor at least first and second operating parameters of a power supply system over time, and generate an adaptive model based on values of the first and second operating parameters. The adaptive model may include data points defined by the values of the first and second operating parameters. The data points may be grouped into bins according to designated ranges of the first operating parameter, and nodes may be calculated for individual bins based on the data points within the bins. An output function may be determined based on the nodes, and a shift incident may be detected based at least in part on an offset between the output function and recent values of the second operating parameter. A control signal may be generated in response to the shift incident to control the power supply system and/or notify an operator.

A synchronous machine includes a stator with stator windings connected with stator terminals to an electrical grid and a rotor with rotor windings rotatable mounted in the stator, wherein a voltage regulator of the synchronous machine is adapted for outputting an excitation signal to adjust a current in the rotor windings for controlling the synchronous machine. A method for determining control parameters for the voltage regulator includes (i) receiving a first time series of values of the excitation signal and a second time series of measurement values of the terminal voltage in the stator terminals, (ii) determining coefficients of a system transfer function of the synchronous machine, and (iii) determining the control parameters for the voltage regulator from the coefficients of the system transfer function.

An apparatus for optimizing control parameters of a power plant is provided. The apparatus for optimizing control parameters of a power plant includes: a model generator configured to configure a forecast model including a process model and a control model, a model corrector configured to correct a first parameter of the process model through operation data of a real power plant, and a tuner configured to tune a second parameter, which is a parameter related to a time delay of the forecast model, so as to have a target load increase rate.

In order to carry out largely automated parameterisation of the closed-loop control parameters for closed-loop control of a hydraulic system comprising a servo drive, a method and a device for determining the closed-loop parameters of a closed-loop control unit of the hydraulic system are specified, wherein an actual system pressure of a hydraulic consumer of the hydraulic system is closed-loop controlled by means of a predefined set point rotational speed of a servo drive, wherein an actual rotational speed of the servo drive follows the predefined set point rotational speed, wherein an excitation signal is applied to the setpoint rotational speed, and the actual system pressure which is set here is measured, the dynamics of the hydraulic system are acquired from the actual rotational speed and/or the setpoint rotational speed and the actual system pressure, and the closed-loop control parameters are calculated from the acquired dynamics.

Building energy consumption is controlled by operating energy consumptive devices according to a control plan determined by: using a software building model to simulate building behavior over a simulation period in accordance with predicted circumstances and in accordance with multiple control plans; for at least one of the control plans, re-simulating building behavior a plurality of times each with a different perturbation imposed, with each perturbation corresponding to a different degree of participation in a grid market, to thereby determine an amount of participation in the grid market available to the building; resimulating building behavior a plurality of times imposing said determined participation amount as a constraint; and selecting an optimal control plan based on the last round of resimulations. The selected optimal control plan may also be derived through combining buildings or energy response attributes associated with different buildings to form synthetic resources for optimal deployment to the grid.

The disclosure discloses a customized harmonic repetitive controller and a control method, and belongs to the field of repetitive controllers for industrial control. In the repetitive controller, a periodic signal generator formed by three time-delay modules and a positive feedforward gain module is taken as a whole to form a forward path, and an internal model of a periodic signal is constructed in the form of outputting positive feedback. Therefore, the structure of the repetitive controller conforms to a standard internal model construction method, the repetitive controller has an order expanding capability, the flexibility of the controller is greatly improved, the disturbance canceling speed of the controller is increased, and the repetitive controller is simple in structure and convenient to design. An h-order nk±m-order-harmonic repetitive controller (h≥2) obtained by further expansion covers various existing high-order repetitive controllers, and a unified form is provided to make the repetitive controller universal.

An apparatus for optimizing control parameters of a power plant is provided. The apparatus for optimizing control parameters of a power plant includes: a model generator configured to configure a forecast model including a process model and a control model, a model corrector configured to correct a first parameter of the process model through operation data of a real power plant, and a tuner configured to tune a second parameter, which is a parameter related to a time delay of the forecast model, so as to have a target load increase rate.

A method for automated optimisation of a servo control system controlled by a setpoint, the servo control system including a corrector in a feedback loop, the method exhibiting satisfactory reliability and performance in terms of stability through an iterative procedure, the most effective corrector being determined from among correctors by developing a current value of the delay margin and by individually testing the correctors on the servo control system of the real mechatronic system and by injecting an excitation signal into the loop and by assessing two effective indicators based on at least one effective static margin and one effective dynamic margin, the two effective indicators being an effective static indicator and an effective dynamic indicator, the iterative procedure being stopped on a corrector, which is then the optimal corrector, when the two effective indicators become greater than respective thresholds determined for a current delay margin value.