Mitsubishi Electric Research Laboratories, Inc.

Mitsubishi Electric Corporation

Mitsubishi Electric Research Labs.

Mitsubishi Research Laboratories, Inc.

Yebin Wang

Scott Bortoff

Philip Orlik

Zafer Sahinoglu

Stefano Di Cairano

Ankush Chakrabarty

Jianlin Guo

Bingnan Wang

Rien Quirynen

Devesh Jha

Chungwei Lin

Toshiaki Koike-Akino

Karl Berntorp

Milutin Pajovic

Yiming Zhao

Lei Zhou

Eyad Zeino

Huazhen Fang

Yehan Ma

Anantaram Varatharajan

Jin Dai

Koon Hoo Teo

William T Vetterling

Dehong Liu

Koichiro Ueda

Toshihiro Wada

Claus Danielson

Taiga Komatsu

Abraham Goldsmith

Tomoki Takegami

Han Yu

Marcus Greiff

Akshay Bhagat

Heejin Ahn

Jian Zhang

Siddarth Jain

Weinan Gao

Gozde Ozcan

Yu Jiang

Siyu Dai

Jessica Leu

Xiaoming Duan

Ahmad Ahmad

Zejiang Wang

Astha Tiwari

Shuangxuan Ran

Sixiong You

Hassan Iqbal

Tong Ma

Taesic Kim

Scott A Bortoff

A control system for controlling movement of a vehicle, is disclosed. The control system is configured to construct a graph having multiple nodes defining states of the vehicle. The multiple nodes comprise an initial node defining initial state and a target node defining target state. Each pair of nodes is connected by an edge defined by collision-free motion primitives where the nodes comprise motion cusps. Multiple nodes connected through edges form a first path. A first number of motion cusps in the first path is determined and the graph is expanded to add new nodes until a termination condition is met on determining that the first number of motion cusps is above a threshold. The expansion of the graph is subjected to a constraint associated with a total number of motion cusps. Further a second path is determined having lesser motion cusps than the first path.

System and method for controlling movement of a vehicle

Provided herein is a method for controlling a manipulator, comprising accepting an initial pose of a load and a task for moving the load and retrieving using a mapping function, an identification trajectory corresponding to the initial pose of the load and controlling a plurality of actuators of the manipulator to move the load according to the retrieved identification trajectory and obtaining measured motion data and estimated motion data of the load each corresponding to motion of the load. The method further comprises estimating parameters of the load based on the measured motion data and the estimated motion data, obtaining a model of the manipulator having the load with the estimated parameters, and determining a performance trajectory to move the load according to the task based on the obtained model of the manipulator. The method further comprises controlling the actuators to move the load according to the performance trajectory.

Systems and methods for flexible robotic manipulation by fast online load estimation

A system for controlling motion of an articulated vehicle with one or multiple trailers is described. The system is configured to infer the state of a vehicle, determine a motion path with forward motions and backward motions for the vehicle based on the state, and formulate an optimal control problem for optimizing the motion path. The optimal control problem comprises an integral tracking error function indicating integral tracking error based on motion cusps relating to the motion path. The motion cusps indicate switching between forward motion and backward motion. The motion path is optimized over a prediction horizon based on solving the optimal control problem. A control command is generated for the vehicle based on the optimized motion path and a vehicle model, and the motion of the articulated vehicle is controlled based on the control command thereby changing its state.

System and method for controlling motion of articulated vehicles

The present disclosure provides a system and a method for controlling a motion of a robot from a starting point to a target point within a bounded space with a floorplan including one or multiple obstacles. The method includes solving for an electric potential in a bounded virtual space formed by scaling the floorplan of the bounded space with the one or multiple obstacles and applying charge to at least one bound of the bounded virtual space while treating the scaled obstacles as metallic surfaces with a constant potential value, wherein the electric potential provides multiple equipotential curves within the bounded virtual space. The method further includes selecting an equipotential curve with a potential value different from a potential value of an obstacle equipotential curve, determining a motion path based on the selected equipotential curve, and controlling the motion of the robot based on the determined motion path.

System and method for controlling a motion of a robot

The present disclosure discloses a controller and a method for controlling an electric motor. The controller comprises a feedback controller configured to generate a reference voltage vector, a hybrid flux observer configured to estimate a flux error vector based on a difference between a first stator flux linkage observed and a second stator flux linkage, and a position observer configured to estimate a position of a rotor of the electric motor based on a projection of the flux error vector in a direction orthogonal to a direction of a voltage error vector shifted with a phase of dynamics of the hybrid flux observer. The controller further comprises a state estimator configured to estimate a value of a state of operation of the electric motor based on the estimated position of the rotor, thereby closing a feedback control loop of the feedback controller.

System and method for controlling an electric motor without a position sensor

A controller is provided for operating a system under admissible states. The controller includes an interface configured to connect the system storing a set of measured system states, a set of reference inputs and a set of system parameters in a storage arranged inside or outside the system, a memory storing measured system states, admissible reference inputs and admissible parameter sets and computer-executable programs including a parameter estimator and an adaptive reference governor (ARG), a processor, in connection with the memory. The processor is configured to perform the ARG and the parameter estimator. The parameter estimator extracts a pair of a reference input and the system state and compute a system parameter estimate based on the reference input and system state. The ARG is configured to update the reference input and compute a parameter-robust constraint admissible set based on the updated reference input and the system states, wherein the ARG generates and transmits a reference input to the system based on the parameter-robust constraint admissible set.

System and method for data-driven reference generation

A cascaded controller for controlling a kinetic three-phase synchronous machine comprises a current control circuitry and an active power control circuitry operatively coupled with the current controller circuitry. The current control circuitry is configured to regulate a magnitude of inrush stator current for a stator of the kinetic three-phase synchronous machine by producing a first voltage control signal causing a flow of active power in the kinetic three-phase synchronous machine. The active power control circuitry is configured to produce a second voltage control signal to reduce the active power to zero, based on the first voltage control signal. The second voltage control signal controls a phase angle of the inrush stator current such that the stator current vector is oriented to align with a magnet axis of the rotor.

Systems and methods for reactive power injection based flying start of synchronous machines

The present disclosure provides a system and a method for parking an autonomous ego-vehicle in a dynamic environment of a parking area. The method includes collecting measurements of a state of the dynamic environment, a state of one or multiple stationary vehicles and one or multiple obstacle vehicles moving in the parking area. The method further includes executing a path planner configured to produce a trajectory based on the state of the dynamic environment and executing an environment predictor configured to predict a path and a mode of motion for each of the obstacle vehicles. The method further includes determining a safety constraint for each of the obstacle vehicles based on the path and the mode of motion for each of the obstacle vehicles and parking the autonomous ego-vehicle based on the trajectory for parking and the safety constraint for each of the obstacle vehicles.

System and method for parking an autonomous ego-vehicle in a dynamic environment of a parking area

A control system for parking a vehicle uses a directed graph representing a traffic network within parking space to determine a coarse path subsequently refined to control the vehicle according to refined path. The directed graph includes waypoints connected by edges, a waypoint defines a position and an orientation, while edge defines a collision free path for the vehicle. The coarse path is selected as a shortest route of waypoints connecting an initial waypoint on the directed graph closest to the initial state of the vehicle with a target waypoint on the directed graph closest to the target state of the vehicle. The refined path is a path on a tree constructed to reduce a deviation of a cost of a motion defined by a refined path connecting the initial node with the target node of the tree from a cost of the coarse path defining the route of waypoints.

Autonomous parking with hybrid exploration of parking space

A motor comprising a shaft, an array of stator assemblies rigidly attached to the shaft, each stator assembly includes a stator yoke having a toroid shape fixed around the shaft and having a number of slots at radial and axis directional faces with windings within the slots of the stator yoke, and a rotor assembly rotatively attached to the shaft to enclose the array of stator assemblies, the rotor assembly has a rotor drum with sections, each section embraces one stator assembly, each section has two axial-flux permanent magnet arrays attached on axial-directional inner surfaces of the section and has one radial-flux permanent magnet array attached on a radial-directional inner surface of the section furthest from the shaft, wherein the axial-flux and the radial-flux permanent magnet arrays with the number of pole pairs equals the number of the stator slots plus or minus the number of stator winding pole pair.

Multi-layer axial and radial flux vernier permanent magnet motor

A control system for controlling a power generator of a power generation system executes a control policy to map an input-and-output sequence to a current value of the excitation voltage, submits the current value of the excitation voltage to the power generator, accepts a current value of the rotor angle caused by actuating the power generator according to the current value of the excitation voltage, and updates the input-and-output sequence with the corresponding current values of the rotor angle and the excitation voltage. The input-and-output sequence of values of the operation of the power generator includes a sequence of multiple values of the rotor angle of the power generator and a corresponding sequence of multiple values of excitation voltage to the power generator causing the values of the rotor angle. The control policy maps the input-and-output sequence to a current control input defining the current value of the excitation voltage.

Data-driven nonlinear output-feedback control of power generators

A computing system for generating optimal tracking control (TC) policies for controlling a machine to track a given time-varying reference (GTVR) trajectory. An updated augmented state of the machine is obtained. Stored in memory is the GTVR trajectory, a constraint-admissible invariant set (CAIS) of machine states satisfying machine state constraints and a corresponding TC policy mapping a machine state within the CAIS to a control input satisfying control input rate constraints. A processor jointly controls the computing system to control the operation to drive an augmented state of the machine to zero, and update the CAIS and TC policy. Joint control includes using a sequence of control inputs and a sequence of augmented machine states within CAIS corresponding to the sequence of tracking control inputs. Execute a constrained tracking approximate dynamic programming (TADP) using the received data to update the value function, update the CAIS and the corresponding TC policy.

System and method for feasibly positioning servomotors with unmodeled dynamics

A system for thermal management of an electric motor, uses an augmented thermal circuit model of the electric motor, which relates temperatures of a set of nodes of the thermal circuit model with the temperature measurements at a first subset of nodes and heat losses of heat sources at a second subset of nodes, for joint estimation of the temperatures at the entire set of nodes and values of the heat losses in the second subset of nodes. The system solves the joint estimation using an estimator/observer. The system outputs one or combination of the values of the temperatures of the set of nodes and the values of the heat losses.

System and method for estimating temperature and heat loss in electric motors

A networked control system for controlling at least one plant includes a receiver configured to receive a feedback signal indicative of a current state of a controlled variable of a plant over a wireless link and a controller configured to determine a control command based on a control error between a reference state of the controlled variable and the current state of the control variable. The system also includes a processor configured to determine, based on a function of the control error, a number of transmission times a packet with the control command needs to be transmitted over the wireless link, and a transmitter configured to transmit the packet over the wireless link the number of transmission times.

Network adapted control system

A control system for controlling a machine with partially modeled dynamics to perform a task estimates a Lipschitz constant bounding the unmodeled dynamics of the machine, initializes a constraint-admissible control policy using the Lipschitz constant for controlling the machine to perform a task, such that the constraint-admissible control policy satisfies stability constraint, safety and admissibility constraint including one or combination of a state constraint and an input constraint, and has a finite cost on the performance of the task, and jointly controls the machine and update the control policy to control an operation of the machine to perform the task according the control policy starting with the initialized constraint-admissible control policy and to update the control policy using data collected while performing the task. In such a manner, the updated control policy is constraint-admissible.

System and method for control constrained operation of machine with partially unmodeled dynamics using Lipschitz constant

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Acton, MA, United States of America

Yebin Wang