Mitsubishi Electric Research Laboratories, Inc.

Sohrab Haghighat

Stefano Di Cairano

Scott Bortoff

Mehmet Alphan Ulusoy

Tyler W Garaas

Yongfang Cheng

A method controls an operation of a laser processing machine with redundant actuators including a first actuator and a second actuator. The method determines a feasible region for states of the first actuator and states of a reference trajectory of the first actuator defined by constraints of the laser processing machine, constraints on the reference trajectory and constraints on a range of motion of the second actuator. The method selects a subset of the feasible region, such that for any state of the first actuator and any state of the reference trajectory within the subset, there is an admissible control maintaining the state of the first actuator within the subset of the feasible region for admissible future states of the reference trajectory, and selects an admissible control action for controlling the operation such that the state of the first actuator remains in the subset of the feasible region.

Control of redundant laser processing machines

A method controls a movement of a train to a stop at a stopping position between a first position and a second position. The method determines constraints of a velocity of the train with respect to a position of the train forming a feasible area for a state of the train during the movement, such that an upper curve bounding the feasible area has a zero velocity only at the second position, and a lower curve bounding the feasible region has a zero velocity only at the first position. Next, the method controls the movement of the train subject to the constraints.

Automatic train stop control system

A method computes reference signals for a machine with redundant positioning by first generating a reference trajectory according to an ordered list of points. Then, using a filter or by choosing the value of the reference at each sampling time, a reference trajectory for the slow subsystem is produced. Next, determine whether the reference trajectory and the slow subsystem reference trajectory violate feasibility constraints, and if true, slowing down the reference trajectory and repeating with the generation of the slow subsystem reference trajectory. The slow subsystem reference trajectory is sent, via a model predictive control block, to a slow positioning subsystem controller, and a combination of the slow subsystem reference trajectory and the reference trajectory is sent to a fast positioning subsystem controller.

Method and system for computing reference signals for machines with redundant positioning

A method controls a machine with redundant actuators according to pattern of disconnected contours, wherein the machine includes redundant actuators by first generating a set of initial trajectories from the pattern. Each initial trajectory corresponds to one of the disconnected contours, or a path from an exit point of one contour and an entry point of a next contour. A set of costs for the set of initial trajectories is determined. A sequence of final trajectories is determined based on the set of costs. Then, a set of commands is generated for controlling the machine according to the sequence of final trajectories.

Method for controlling redundantly actuated machines for cutting a pattern of disconnected contours

A method for stopping a train at a range of predetermined positions, first acquires a measured state of the trains, and then updates, in a parameter estimator, estimates of unknown parameters and a reliability of the unknown parameters, based on a comparison of a predicted state of the train with the measured state of the train. An excitation input sequence reference generator acquires dynamics of the train to determine a sequence of excitation inputs based on a current estimate of system parameters, the measured state of the train, and a set of constraints on an operation of the train. A model predictive controller (MPC) receives a control-oriented cost function, a set of constraints, the sequence of excitation inputs, the estimate of the unknown parameters and the reliability of the estimate of the unknown parameters to determine an input command for a traction-brake actuator of the train.

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San Carlos, CA, United States of America

Sohrab Haghighat