Leak estimation using function estimation
The disclosed concept maintains that Q p =Q c −Q leak , where, Q p is the estimated patient flow, Q leak is the estimated leak and Q c is the measured total circuit flow. Q leak is given by a transfer function φ(χ) where x is a set of independent measured or fixed variables. The transfer function is thus Q leak =φ(χ). The transfer function (φ(χ) is adjusted given the constraint that, Q p shall be zero. The transfer function converges over time to accurately estimate the leak because over an extended time the mean patient flow will always be zero. In one example, φ(χ)=g orf P γ and the coefficient g orf is adapted until Q p is zero.
1. A method of estimating leak flow Q leak in a gas delivery system, comprising:
generating a first flow of gas from a pressure or flow generator of the gas delivery system;
determining a patient flow Q p , wherein the patient flow Q p is a flow of gas delivered to a patient by the gas delivery system; and
determining a transfer function φ(x) that estimates the leak flow Q leak , where x is a set of independent measured or fixed variables, based on an adaptive filter constraining patient flow Q p , wherein the constraint regarding patient flow Q p is patient flow Q p equals zero, wherein the transfer function φ(x) is Q leak =g orf ·P p γ , where γ is a predetermined exponent, P p is patient pressure, and g orf is a lumped coefficient, wherein the coefficient g orf is adapted until Q p is zero, and wherein the determining of the transfer function includes adjusting the coefficient g orf to produce zero patient flow Q p by filtering the patient flow Q p to obtain a filtered Q p , multiplying the filtered Q p by a constant K fg to obtain a product, and adding the product to a previous g orf .
2. The method according to claim 1 , wherein the filtering of the patient flow Q p comprises low pass filtering the patient flow Q p .
3. The method according to claim 1 , wherein the set of independent measured or fixed variables comprises at least one of a patient interface parameter, a respiratory parameter and an ambient condition parameter.
4. A method of estimating leak flow Q leak in a gas delivery system, comprising:
generating a first flow of gas from a pressure or flow generator of the gas delivery system;
determining a patient flow Q p , wherein the patient flow Q p is a flow of gas delivered to a patient by the gas delivery system; and
determining a transfer function φ(x) that estimates the leak flow Q leak , where x is a set of independent measured or fixed variables, based on an adaptive filter constraining patient flow Q p , wherein the constraint regarding patient flow Q p is patient flow Q p equals zero, wherein the transfer function φ(x) is Q leak =g orf ·P p γ , where γ is a predetermined exponent, P p is patient pressure, and g orf is a lumped coefficient, wherein the coefficient g orf is adapted until Q p is zero, the method further comprising determining whether g orf is less than 0, and if g orf is less than 0, setting Q leak equal to g orf .
5. A gas delivery system, comprising:
a pressure or flow generating system adapted to produce a first flow of gas;
a patient circuit operatively coupled to the pressure or flow generating system; and
a controller operatively coupled to the pressure or flow generating system, the controller being programmed to estimate leak flow Q leak in the gas delivery system by:
determining a patient flow Q p , wherein the patient flow Q p is a flow of gas delivered to a patient by the gas delivery system; and
determining a transfer function φ(x) that estimates the leak flow Q leak , where x is a set of independent measured or fixed variables, based on an adaptive filter constraining patient flow Q p , wherein the constraint regarding patient flow Q p is patient flow Q p equals zero, wherein the transfer function φ(x) is Q leak =g orf ·P p γ , where γ is a predetermined exponent, P p is patient pressure, and g orf is a lumped coefficient, wherein the coefficient g orf is adapted until Q p is zero, and wherein the determining of the transfer function includes adjusting the coefficient g orf to produce zero patient flow Q p by filtering the patient flow Q p to obtain a filtered Q p , multiplying the filtered Q p by a constant K fg to obtain a product, and adding the product to a previous g orf .
6. The gas delivery system according to claim 5 , wherein the filtering of the patient flow Q p comprises low pass filtering the patient flow Q p .
7. The gas delivery system according to claim 5 , wherein the set of independent measured or fixed variables comprises at least one of a patient interface parameter, a respiratory parameter and an ambient condition parameter.
8. A gas delivery system, comprising:
a pressure or flow generating system adapted to produce a first flow of gas;
a patient circuit operatively coupled to the pressure or flow generating system; and
a controller operatively coupled to the pressure or flow generating system, the controller being programmed to estimate leak flow Q leak in the gas delivery system by:
determining a patient flow Q p , wherein the patient flow Q p is a flow of gas delivered to the patient by the gas delivery system; and
determining a transfer function φ(x) that estimates the leak flow Q leak , where x is a set of independent measured or fixed variables, based on an adaptive filter constraining patient flow Q p , wherein the constraint regarding patient flow Q p is patient flow Q p equals zero, wherein the transfer function φ(x) is Q leak =g orf ·P p γ , where γ is a predetermined exponent, P p is patient pressure, and g orf is a lumped coefficient, wherein the coefficient g orf is adapted until Q p is zero, and wherein the controller is further programmed to determine whether g orf is less than 0, and if g orf is less than 0, set Q leak equal to g orf .