1. A coupling system for connecting supply lines between a trailer and a tractor vehicle, comprising: a socket which is arranged on the tractor vehicle and a support element, having a plug, which is arranged on the trailer, wherein
the socket is arranged in a positionally fixed manner on the tractor machine,
the plug is guided in a laterally moveable manner in the support element, and
the plug can be placed into a connecting position with the socket by means of an actuator which is arranged on the tractor vehicle.
2. The system per claim 1, wherein the plug has a ram, with which a pressure rod of the actuator can engage.
3. The system per claim 1, wherein a locking element is arranged on the plug or socket or both the plug and socket.
4. The system per claim 2, wherein the locking element interacts with an unlocking actuator.
5. The system per claim 1, wherein a spring element is arranged between the plug and the support element.
6. The system per claim 1, wherein the tractor vehicle has a fifth wheel with an entry opening formed by two lateral coupling horns and the trailer has a kingpin on which the support element can be arranged to swivel, and wherein the socket can be arranged in the first coupling horn.
7. The system per claim 6, wherein the actuator can be arranged on the second coupling horn, opposite the coupling horn.
8. The system per claim 1, wherein the actuator, the plug and the socket are oriented in the same axis to each other.
9. The system per claim 8, wherein the axis is oriented transversely or at a slant to the direction of travel.
10. The system per claim 6, wherein the actuator, the plug and the socket are arranged in the same plane beneath the fifth wheel.
11. The system per claim 1, wherein the actuator retracts into its original position after producing the connection position.
12. The system per claim 2, wherein a locking element is arranged on the plug or socket or both the plug and socket.
13. The system per claim 4, wherein a spring element is arranged between the plug and the support element.
14. The system per claim 13, wherein the tractor vehicle has a fifth wheel with an entry opening formed by two lateral coupling horns and the trailer has a kingpin on which the support element can be arranged to swivel, and wherein the socket can be arranged in the first coupling horn.
15. The system per claim 14, wherein the actuator can be arranged on the second coupling horn, opposite the first coupling horn.
16. The system per claim 15, wherein the actuator, the plug and the socket are oriented in the same axis to each other.
17. The system per claim 16, wherein the axis is oriented transversely or at a slant to the direction of travel.
18. The system per claim 17, wherein the actuator, the plug and the socket are arranged in the same plane beneath the fifth wheel.
19. The system per claim 18, wherein the actuator retracts into its original position after producing the connection position.
The claims below are in addition to those above.
All refrences to claim(s) which appear below refer to the numbering after this setence.
1. A system for tuning a process control loop, the system comprising:
a tuner for receiving an error signal representative of a difference between a set point and a process variable to generate a first process control signal for controlling the process and to generate a set of process characteristic signals characterizing the process;
a nonlinear module for applying a nonlinear procedure to the set of process characteristic signals to generate at least one controller parameter signal;
a controller for receiving the error signal and the at least one controller parameter signal from the nonlinear module, the controller generating a second process control signal for controlling the process;
and a switch coupled to the process for coupling one of the tuner and the controller to the process to select the appropriate process control signal for controlling the process.
2. The system of claim 1 wherein the nonlinear module includes a nonlinear controller design module for providing a nonlinear estimation of a plurality of controller tuning parameters.
3. The system of claim 2 wherein the controller is further coupled to receive the nonlinear estimation of controller tuning parameters from the nonlinear controller design module.
4. The system of claim 2 wherein the nonlinear controller design module allows adjustments to the controller, the adjustments altering a response speed of the controller.
5. The system of claim 1 further comprising an analytical controller design module coupled to the nonlinear module, the analytical controller design module capable of providing a plurality of controller parameters to the controller based on a plurality of model identification parameters received from the nonlinear module.
6. The system of claim 1 wherein the controller is a proportional, integral, and derivative feedback controller.
7. The system of claim 1 wherein the nonlinear module includes at least one neural network module.
8. The system of claim 7 wherein the neural network module uses a function selected from the group consisting of a sigmoid function and a radial basis function.
9. The system of claim 7 wherein the neural network module uses a sigmoid function wherein a transfer function is given by
Out
=
1
–
\u2147
–
In
1
+
\u2147
–
In
,
wherein In is a weighted sum of a plurality of external inputs of the form In=\u03a3wiIni.
10. The system of claim 1 wherein the nonlinear module includes a nonlinear process identification module and a nonlinear controller design module, and wherein an output from the nonlinear process identification module and an output from the nonlinear controller design module are coupled to the controller.
11. The system of claim 1 wherein the nonlinear module includes a fuzzy logic module.
12. The system of claim 1 wherein the controller parameter signal includes a plurality of control parameters using nonlinear estimators of a plurality of tuning parameters for tuning the process control loop.
13. The system of claim 12 wherein the nonlinear module calculates the plurality of control parameters using nonlinear estimators using nonlinear functions to create nonlinear estimators of the plurality of tuning parameters.
14. The system of claim 13 wherein the nonlinear function includes a neural network using a sigmoid function.
15. The system of claim 14 wherein heuristic coefficients are used with the sigmoid function to provide parameters including an integral time, a gain and a derivative time.
16. The system of claim 12 wherein the nonlinear module calculates the plurality of control parameters using nonlinear estimators using neural networks to estimate a set of relay oscillation tuning parameters.
17. The system of claim 13 wherein the nonlinear module calculates the plurality of control parameters using nonlinear estimators using fuzzy logic to estimate a set of relay oscillation tuning parameters.
18. A method for tuning a process control loop, the method comprising:
receiving an error signal representative of a difference between a set point and a process variable;
generating a set of process characteristic signals characterizing the process from the error signal;
applying a nonlinear procedure to the set of process characteristic signals to generate at least one controller parameter signal and to generate process model identification parameters associated with the at least one controller parameter signal;
generating a process control signal for controlling a process based on the error signal and the at least one controller parameter signal; and
controlling the process using the process control signal.
19. A system for tuning a process control loop, the system comprising:
a computer readable memory; and
software stored on the computer readable memory operable to:
receive an error signal representative of a difference between a set point and a process variable;
generate a set of process characteristic signals characterizing the process;
apply a nonlinear procedure to the set of process characteristic signals to generate at least one controller parameter signal and to generate process model identification parameters associated with the at least one controller parameter signal;
generate a process control signal for controlling a process based on the error signal and the at least one controller parameter signal; and
control the process using the process control signal.