Software-based adaptive control system for electric motors and generators

• US 20050046375A1
• Filed: 12/17/2003
• Published: 03/03/2005
• Est. Priority Date: 07/31/2002
• Status: Abandoned Application

• Current Assignee: BluWav Systems LLC (Magna International Incorporated)
• Original Assignee: BluWav Systems LLC (Magna International Incorporated)
• Inventors: Yuan, Guohui, Salatino, John, Maslov, Boris A.
• Application Number:
  US10/736,791
• Publication Number:
  US 20050046375A1
• Time in Patent Office: Days
• US Class Current: 318/650
• CPC Class Codes: B60L 2210/20 AC to AC converters
• CPC Class Codes: B60L 2220/18 Reluctance machines
• CPC Class Codes: B60L 2220/44 Wheel Hub motors, i.e. integrated in the wheel hub
• CPC Class Codes: B60L 8/00 Electric propulsion with power supply from forces of nature, e.g. sun or wind
• CPC Class Codes: H02K 1/141 consisting of C-shaped cores
• CPC Class Codes: H02K 1/187 to inner stators
• CPC Class Codes: H02K 11/05 Rectifiers associated with casings, enclosures or brackets
• CPC Class Codes: H02K 11/33 Drive circuits, e.g. power electronics H02K11/38 takes precedence
• CPC Class Codes: H02K 16/04 Machines with one rotor and two stators
• CPC Class Codes: H02K 2213/09 Machines characterised by the presence of elements which are subject to variation, e.g. adjustable bearings, reconfigurable windings, variable pitch ventilators
• CPC Class Codes: H02K 29/00 Motors or generators having non-mechanical commutating devices, e.g. discharge tubes or semiconductor devices
• CPC Class Codes: H02K 3/28 Layout of windings or of connections between windings windings for pole-changing H02K17/06, H02K17/14, H02K19/12, H02K19/32
• CPC Class Codes: H02K 7/183 wherein the turbine is a wind turbine adaptation of a wind turbine to an electric generator F03D9/25
• CPC Class Codes: H02K 7/1838 Generators mounted in a nacelle or similar structure of a horizontal axis wind turbine
• CPC Class Codes: H02P 2209/07 Trapezoidal waveform
• CPC Class Codes: H02P 23/0077 Characterised by the use of a particular software algorithm
• CPC Class Codes: H02P 25/08 Reluctance motors
• CPC Class Codes: H02P 27/06 using dc to ac converters or inverters H02P27/05 takes precedence
• CPC Class Codes: H02P 6/34 Modelling or simulation for control purposes
• CPC Class Codes: Y02T 10/64 Electric machine technologies in electromobility
• CPC Class Codes: Y02T 10/7072 : Electromobility specific charging systems or methods for batteries, ultracapacitors, supercapacitors or double-layer capacitors
• CPC Class Codes: Y02T 10/72 : Electric energy management in electromobility

Abstract

A control system for motors, generators and other electric machines that improves machine performance by dynamically adapting to changes. These changes may be in user inputs, machine operating conditions and/or machine operating parameters. The control system can take advantage of more independent machine parameters. That gives greater freedom to optimize and allows motors and generators to perform better than bigger, heavier machines, particularly more efficiently. The control system is software-based. So standard interfaces allow the control system to be improved and updated without changing hardware. This adaptive control system improves performance in a wide variety of motor and generator applications, particularly those that need high efficiency over varying conditions.

Claims

1. An adaptive control system, comprising a control system having means for dynamically selecting from at least two different control strategies during machine operation to optimize one or more goal functions as the machine'"'"'s operating conditions vary.

2. An adaptive control system, comprising a control system having controller that selects from among two or more excitation profiles to optimize the performance of the machine according to a parameter selected from the group consisting of feedback, voltage, current, flux, torque, speed, or combinations thereof.

3. An adaptive control system according to claim 2, comprising an electric machine with a rotor, a stator, and two or more electromagnetic circuits, wherein each of the electromagnetic circuits is structurally separated from each other circuit and the control system has a controller for dynamically controlling the electrical flow in each electromagnetic circuit independently from each other circuit.

4. An adaptive control system according to claim 3, wherein the adaptive control system has a controller for dynamically adapting the waveform profile for the electrical flow in each electromagnetic circuit according to the operating conditions of the machine.

5. An adaptive control system according to claim 4, comprising a software program for carrying out a control system with different control strategies.

6. A method for controlling an electric machine, comprising:

sensing one or more operating conditions of the electric machine, and

dynamically configuring the control scheme of the machine to adapt to variations in the operating conditions.

7. A method for optimizing performance of an electric machine, compsiring:

identifying and maximizing independent machine parameters that will be controlled by a control system of the machine;

selecting one or more sensed parameters, the sensed parameters selected from the group consisting of user inputs, machine operating conditions, machine operating parameters, and combinations thereof, that will be periodically sensed during operation of the machine; and

dynamically changing the controlled parameters to changes in the sensed parameters.