The present invention pertains to the field of watersports and boating.
Competitors in trick, jump, and slalom ski and wakeboard events require tow boats capable of consistent and accurate speed control. Intricate freestyle tricks, jumps, and successful completion of slalom runs require passes through a competition water course at precisely the same speed at which the events were practiced by the competitors. Some events require that a pass through a course be made at a specified speed. Such requirements are made difficult by the fact that typical watercraft Pitot tube and paddle wheel speedometers are inaccurate and measure speed over water instead of speed over land, and wind, wave, and skier loading conditions constantly vary throughout a competition pass.
Marine transportation in general suffers from the lack of accurate vessel speed control. The schedules of ocean-going vessels for which exact arrival times are required, for example, are vulnerable to the vagaries of wind, waves, and changing hull displacement due to fuel depletion.
The present invention provides consistent, accurate control of watercraft speed over land. It utilizes Global Positioning Satellite technology to precisely monitor watercraft velocity over land. It utilizes dynamic monitoring and dynamic updating of engine control data in order to be responsive to real-time conditions such as wind, waves, and loading.
The present invention is an electronic closed-loop feedback system that controls the actual angular velocity ωa of a boat propeller, and, indirectly, the actual over land velocity va of the watercraft propelled by that propeller. The system has various configurations, but the preferred embodiment includes a global positioning satellite (GPS) velocity measurement device, a marine engine speed tachometer, four comparators, four conversion algorithms, and engine speed controls.
Herein, a GPS device is one of the category of commonly understood instruments that use satellites to determine the substantially precise global position and velocity of an object. Such position and velocity measurements can be used in conjunction with timers to determine an object's instantaneous velocity and average velocity between two points. Engine speed refers to angular velocity, generally measured with a device herein referred to as a tachometer. A comparator is any analog or digital electrical, electronic, mechanical, hydraulic, or fluidic device capable of determining the sum of or difference between two input parameters, or the value of an input relative to a predetermined standard. An algorithm is any analog or digital electrical, electronic, mechanical, hydraulic, or fluidic device capable of performing a computational process. The algorithms disclosed herein can be performed on any number of devices commonly called microprocessors or microcontrollers, examples of which include the Motorola® MPC555 and the Texas Instruments® TMS320.
As diagrammed in
The addition of engine speed correction ωc and engine speed ωadapt in comparator 16 results in the total desired engine speed ωd that is input to a third comparator 20. A sensor 24, one of many types of commonly understood tachometers, detects the actual angular velocity ωa of a driveshaft from an engine 53 of watercraft 50 and sends it to third comparator 20. In third comparator 20 actual angular velocity ωa and total desired engine speed ωd are compared for engine speed error eω that is input to a third algorithm 26. In the third algorithm 26 engine speed error eω is converted into engine torque correction τc.
Total desired engine speed ωd is also input to a fourth algorithm 22 the output of which is τadapt, a value of engine torque adaptively determined to be the engine torque necessary to operate watercraft engine 53 at total desired engine speed ωd. The addition of engine torque τadapt and engine torque correction τc in a fourth comparator 28 results in the calculated desired engine torque τd. Calculated desired engine torque τd is input to controller 30 that drives a throttle control capable of producing in engine 53 a torque substantially equal to calculated desired engine torque τd.
The first and third algorithms 14 and 26, respectively, could include any common or advanced control loop transfer function including, but not limited to, series, parallel, ideal, interacting, noninteracting, analog, classical, and Laplace types. For both the first and third algorithms 14 and 26 the preferred embodiment utilizes a simple proportional-integral-derivative (PID) algorithm of the following type (exemplified by the first algorithm 14 transfer function):
ωc=Kpev+Kd(d/dt)ev+∫Kievdt.
Where Kp, Kd, and Ki are, respectively, the appropriate proportional, derivative, and integral gains.
The second and fourth algorithms 18 and 22, respectively, provide dynamically adaptive mapping between an input and an output. Such mapping can be described as self-modifying. The inputs to the second and fourth algorithms 18 and 22 are, respectively, predetermined velocity vd and total desired engine speed ωd. The outputs of the second and fourth algorithms 18 and 22 are, respectively, engine speed ωadapt and engine torque τadapt. The self-modifying correlations of algorithms 18 and 22 may be programmed during replicated calibration operations of a watercraft through a range of velocities in a desired set of ambient conditions including, but not limited to, wind, waves, and watercraft loading, trim angle, and attitude. Data triplets of watercraft velocity, engine speed, and engine torque are monitored with GPS technology and other commonly understood devices and fed to algorithms 18 and 22 during the calibration operations. Thereafter, a substantially instantaneous estimate of the engine speed required to obtain a desired watercraft velocity and a substantially instantaneous estimate of the engine torque required to obtain a desired engine speed can be fed to the engine speed and torque control loops, even in the absence of watercraft velocity or engine speed departures from desired values, in which cases the outputs of algorithms 14 and 26 may be zero.
In the preferred embodiment, no adaptive data point of watercraft velocity, engine speed, or engine torque described above is programmed into algorithms 18 or 22 until it has attained a steady state condition as diagrammed in
ωadapt(vd)=ωadapt(vd)+kadapt[ωdωadapt(vd)]Δtupdate
where kadapt and Δtupdate are factory-set parameters that together represent the speed at which the adaptive algorithms “learn” or develop a correlated data set. The last block on the
When engine speed error eω and the time rate of change of actual engine speed ωa decrease to predetermined tolerance values, and the time elapsed since the beginning of a sample event is greater than or equal to a predetermined validation time, τadapt is updated according to
τadapt(ωd)=τadapt(ωd)+kadapt[τd−τadapt(ωd)]Δtupdate.
This is the same updating equation that is used in algorithm 18, and it is derived in the same manner as is illustrated in
The substantially instantaneous estimates of engine speed and torque derived from algorithms 18 and 22 require interpolation among the discrete values programmed during watercraft calibration operation. For practice of the present invention there are many acceptable interpolation schemes, including high-order and Lagrangian polynomials, but the preferred embodiment utilizes a linear interpolation scheme. For example, algorithm 18 employs linear interpolation to calculate a value of ωadapt for any predetermined velocity vd. From a programmed table of vd values from v0 to vn, inclusive of vm, and ωadapt values from ω0 to ωn, inclusive of ωm, a value of m is chosen so that vd>vm and vd<vm+1. Algorithm 18 calculates intermediate values of engine speed according to the equation
ωadapt=ωm+[(vd−vm)/(vm+1−vm)](ωm+1−ωm).
Although algorithm 22 could also utilize any of several interpolation schemes, and is not constrained to duplication of algorithm 18, in the preferred embodiment of the present invention, algorithm 22 calculates τadapt using the same linear interpolation that algorithm 18 uses to calculate ωadapt. In order to implement adaptive update algorithm 18 when using a linearly interpolated table of values as the preferred interpolation embodiment, the following procedure can be followed:
Compute a weighting factor x using the following equation:
x=[(vd−vm)/(vm+1−vm)]
Note that x is always a value between 0 and 1.
Similar to algorithm of 18, update the two bracketing values ωm, ωm+1 in the linear table using the following equations:
ωm=ωm+(1−x)kadapt[ωd−ωadapt]Δtupdate
ωm+1=ωm+1+(x)kadapt[ωd−ωadapt]Δtupdate
The other values in the linear table remain unchanged for this particular update, and are only updated when they bracket the operating condition of the engine at some other time. This same procedure can be used on the engine speed vs. torque adaptive table.
Although the preferred embodiment does not utilize extrapolation in its adaptive algorithms, the scope of the present invention could easily accommodate commonly understood extrapolation routines for extension of the algorithm 18 and algorithm 22 data sets.
Adaptive algorithms 18 and 22 are not required for operation of the present invention, but they are incorporated into the preferred embodiment. Aided by commonly understood integrators, algorithms 14 and 26 are capable of ultimate control of a watercraft's velocity. However, the additional adaptive control provided by algorithms 18 and 22 enhances the overall transient response of system 100.
The following table is an example of the velocity vs. engine speed adaptive table as it might be initialized from the factory. This table is a simple linear table which starts at zero velocity and extends to the maximum velocity of the boat (60 kph) at which the maximum engine speed rating (6000 rpm) is also reached:
The following is an example of the velocity vs. engine speed adaptive after the boat has been driven for a period of time:
Note that engine speed values correlating to boat speeds of 50 and 60 kph have not been modified from the original initial values. This is because the boat was never operated at these desired speeds during the period of operation between the present table and the initial installation of the controller. The following is a graphical representation of the data in the preceding tables:
Controller 30 (see
It will be apparent to those with ordinary skill in the relevant art having the benefit of this disclosure that the present invention provides an apparatus for controlling the velocity of a watercraft. It is understood that the forms of the invention shown and described in the detailed description and the drawings are to be taken merely as presently preferred examples and that the invention is limited only by the language of the claims. The drawings and detailed description presented herein are not intended to limit the invention to the particular embodiments disclosed. While the present invention has been described in terms of one preferred embodiment and a few variations thereof, it will be apparent to those skilled in the art that form and detail modifications can be made to that embodiment without departing from the spirit or scope of the invention.
This patent claims priority from and incorporates by reference U.S. Patent Application Ser. No. 60/543,610, Filed Feb. 11, 2004.
Number | Date | Country | |
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60543610 | Feb 2004 | US |