33 results about "Controlling for a variable" patented technology

The present invention applies a slope predictive control method to a Variable Temperature Control (VTC) system, measuring the slope of the discharge temperature as a function of flow regulation device position, and using this slope to predict the position of the flow regulation device needed to achieve the desired discharge temperature. The present invention also monitors the response of the VTC over time and utilizes a self-learning algorithm to predict the response time of the system in order to determine when further control adjustments need to be taken.

A fault-tolerant control system and method for variable-speed variable-pitch wind turbines with an inverter-fed generator. When generator faults are detected, the generator torque and / or flux is limited to prevent propagation of the faults and possible failure and shutdown of the generator. The control system and method improves on two-loop control methods for variable-speed variable-pitch wind turbines and provides improved power delivery under fault conditions.

A parallel operation keyboard (POK) which enables a user to provide multiple inputs simultaneously in managing a process control plant. A lock is provided to disable such simultaneous inputs. In an embodiment, multiple groups of keys are provided, with each group of keys being operable independently to modify the parameter value of a corresponding control loop. A network management station (NMS) and a server are designed to provide a suitable interface. In one implementation, each group of keys contains four keys respectively specifying increasing the parameter value, decreasing the parameter value, manual mode (in which the present level of the variable is controlled by the increase / decrease keys) and normal mode (in which the set point, i.e., the desired value, for the variable is controlled).

A method for controlling a personal protection device for a vehicle. The method includes a step of determining a set of control variants for controlling the personal protection device, from a plurality of possible control variants for controlling the personal protection device, using an inaccurate situational value and at least one inaccuracy value, the inaccurate situational value representing a value ascertained using a sensor of the vehicle, and the inaccuracy value defining an inaccuracy of the inaccurate situational value; and a step of selecting a control variant assigned to the inaccurate situational value, from the plurality of possible control variants, as a control variant selected for controlling the personal protection device, if each control variant of the set of control variants is assigned a safety class, which satisfies a safety criterion necessary for controlling the personal protection device.

The invention relates to a distributed model predictive control method for an urban road network system based on neighborhood optimization. The distributed model predictive control method comprises the following steps: 1) establishing a road section mathematical model; 2) establishing an urban traffic network system model and an urban traffic road network system distributed model: introducing a control component G (k) on the basis of the road section model and performing decomposition and deformation on the road network system model to obtain the road network system distributed model; 3) establishing performance indexes and constraint conditions of each subsystem and constructing subsystem performance indexes based on the neighborhood optimization; 4) firstly calculating a local optimal control variable through each subsystem, continuously iterating through performing information exchange with a neighborhood subsystem according to a Nash game theory principle to enable the whole system to converge Nash equilibrium points at last and obtaining a Nash optimal control input quantity at the same time. The distributed model predictive control method is simple and clear, convenient to realize and better in control effect and improves the traffic congestion conditions in the urban road network system under a saturated or supersaturated state.