Apparatus and method for filtering a digital signal

• US 6,122,605 A
• Filed: 08/18/1998
• Issued: 09/19/2000
• Est. Priority Date: 07/08/1997
• Status: Expired due to Fees

• Current Assignee: Johnson Controls Technology Company (Johnson Controls International plc)
• Original Assignee: Johnson Controls Technology Company (Johnson Controls International plc)
• Inventors: Ben-Aissa, Nebil, Drees, Kirk H., Seem, John E.
• Primary Examiner(s): WACHSMAN, HAL D
• Application Number:
  US09/135,786
• Time in Patent Office: 763 Days
• Field of Search: 708/300, 708/322, 708/819, 702/194, 702/66, 702/69, 702/70, 702/75, 702/76, 702/79, 702/86, 702/89, 702/104, 702/106, 702/107, 702/111, 702/116, 702/117, 702/190, 702/124-126, 702/191, 702/193, 702/195 , 702/197, 702/199, 702/FOR 172, 702/FOR 107, 702/FOR 110, 702/FOR 169, 702/FOR 156, 702/FOR 165, 702/FOR 166, 702/FOR 167 , 702/FOR 171, 324/613, 324/614, 324/620, 324/626, 324/76, 324/19, 324/76.28, 324/29, 324/31, 324/76.44-76.47, 324/76.68, 327/551-553, 327/555, 327/558, 327/311, 327/309, 327/310, 700/28, 700/33-35
• US Class Current: 702/194
• CPC Class Codes: G05B 11/42 for obtaining a characteristic which is both proportional and time-dependent, e.g. P. I., P. I. D.
• CPC Class Codes: G05B 13/024 in which a parameter or coefficient is automatically adjusted to optimise the performance
• CPC Class Codes: G05B 5/01 electric
• CPC Class Codes: G05B 7/02 electric

Abstract

A closed loop feedback control system operates to maintain a process variable at or near a process variable setpoint. A digital filter is implemented with the controller to filter the process variable signal input to the controller. The filter includes both an amplitude filter to clip signal spikes and glitches and low pass filter to remove higher order, noise related frequencies from the signal, that could adversely affect computational speed of the controller.

Claims

1. A method of filtering a digital signal, comprising the steps of:

conditioning a process variable signal for filtering, wherein the process variable signal is digital and varies in amplitude with variation in magnitude of a process variable and thus contains amplitude information;

filtering the process variable signal through an amplitude filter to remove a first noise component, while retaining the amplitude information;

filtering the process variable signal through a frequency filter to remove a second noise component from the process variable signal; and

adjusting outputs of the amplitude and frequency filters in response to changes in the process variable signal.

2. The method of claim 1, wherein the step of conditioning the process variable signal comprises the steps of:

receiving the process variable signal;

converting the process variable signal into a digital signal;

linearizing the converted signal; and

calibrating the linearized converted signal.

3. The method of claim 1, further comprising the step of adjusting a bandwidth associated with the amplitude filter as a function of a noise level associated with the process variable signal.

4. The method of claim 1, further comprising the step of adjusting a weight factor of the amplitude filter based on an absolute value difference between a present filter input value into the amplitude filter and a previous filter output value from the amplitude filter.

5. The method of claim 1, wherein the step of filtering the process variable signal through the amplitude filter comprises clamping an output of the amplitude filter if a current input to the amplitude filter is greater than a previous output from the amplitude filter, or if the current input to the amplitude filter is less than the previous output from the amplitude filter.

6. The method of claim 1, wherein the step of filtering the process variable signal through the frequency filter comprises filtering the process variable signal through a low pass filter.

7. The method of claim 6, wherein the step of filtering the process variable signal through a low pass filter comprises filtering the process variable signal through a second order Butterworth filter.

8. The method of claim 7, further comprising the steps of:

adjusting a cutoff period of the second order Butterworth filter;

adjusting a cutoff frequency of the second order Butterworth filter through use of an enumerated variable; and

determining bilinear transformation parameters necessary to implement the second order Butterworth filter.

9. The method of claim 8, further comprising the steps of calculating an output of the second order Butterworth filter based on a current input to the second order Butterworth filter, two most recent previous input values to the second order Butterworth filter, and two most recent previous output values from the frequency filter.

10. The method of claim 1, wherein the step of filtering the process variable signal through the frequency filter comprises filtering the process variable signal through a first order frequency filter based on a current input to the frequency filter and a most recent previous output from the frequency filter.

11. A digital filter, comprising:

an input that receives an input signal including a low pass process variable and noise components;

an adaptive amplitude filter that clips the input signal and outputs a clipped signal, the adaptive amplitude filter having an amplitude window that permits small changes in the input signal, but clips changes exceeding a predetermined amplitude wherein the amplitude window is expandable in an exponential manner to conform to variations in the input signal; and

a frequency filter that filters the clipped signal to eliminate associated high frequency noise from the clipped signal and produces a filter output signal.

12. The filter of claim 11, wherein the frequency filter comprises a first order low pass filter that removes signal frequencies above a predetermined cutoff frequency.

13. The filter of claim 11, wherein the frequency filter is a second order Butterworth low pass filter that filters noise components from the input signal occurring above a predetermined cutoff frequency.

14. The filter of claim 13, wherein the second order Butterworth low pass filter calculates a filter output based on the current input value to the second order Butterworth low pass filter and two most recent previous input values to the second order Butterworth low pass filter, as well as two most recent previous output values from the second order Butterworth low pass filter.

15. The filter of claim 13, wherein the second order Butterworth low pass filter is implemented using a bilinear transformation.

16. A method of filtering a digital signal, comprising the steps of:

conditioning a digital process variable signal for filtering;

filtering the digital process variable signal through an amplitude filter to remove a first noise component by clamping an output of the amplitude filter if a present input to the amplitude filter is greater than a previous output from the amplitude filter, or if the present input to the amplitude filter is less than the previous output from the amplitude filter;

filtering the digital process variable signal through a frequency filter to remove a second noise component from the digital process variable signal; and

adjusting outputs of the amplitude and frequency filters in response to changes in the digital process variable signal.