Cost effective combined axial fan and throttling valve control of ventilation rate

Taylor, C. James; Leigh, P.; Chotai, A.; Young, Paul Thomas; Vranken, Erik; Berckmans, Daniël

doi:10.1049/ip-cta:20040753

Cited by 25 publications

(7 citation statements)

References 13 publications

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“…An alternative approach uses a non-minimal state space (NMSS) representation, in which the state is directly measured and thus avoids the use of an observer (Young et al, 1987;Taylor et al, 2000a). The NMSS approach has been successfully applied to diverse practical problems, including control of ventilation rate in agricultural buildings (Taylor et al, 2004); and semi-automatic control of mobile construction (Shaban et al, 2008) and nuclear decommissioning (Bakari et al, 2009) robots.…”

Section: Introductionmentioning

confidence: 99%

Continuous-Time Feedforward Proportional-Integral-Plus Control

Cross

Taylor

Aggidis

2010

UKACC International Conference on CONTROL 2010

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Most of the research into Non-Minimal State Space (NMSS), Proportional-IntegralPlus (PIP) control system design has been in the discrete-time domain. However, continuoustime models can have a number of advantages, particularly for fast sampled systems or when it is essential that the control system responds quickly to an unexpected disturbance. The present article applies continuous-time NMSS/PIP design to two practical examples, namely a connected pair of DC electric motors in the laboratory, and a nonlinear simulation of a hydraulic power-take-off element for a wave energy converter. Both applications include measured disturbance inputs. Therefore, the article also develops and evaluates feedforward control structures, including one based on an extended continuous-time NMSS model.

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Section: Introductionmentioning

confidence: 99%

Continuous-Time Feedforward Proportional-Integral-Plus Control

Cross

Taylor

Aggidis

2010

UKACC International Conference on CONTROL 2010

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“…In studies [14–17], indoor CO 2 concentration has been detected through the CO 2 sensor and more accurate control of indoor air quality has been achieved through the built CO 2 concentration prediction model, while achieving energy-efficient buildings. Having the ventilation system accommodate the throttling valve or others can limit the air-intake amount and achieve the energy-saving purpose [18].…”

Section: Introductionmentioning

confidence: 99%

Planning and Design of Low-Power-Consuming Full-Outer-Air-Intake Natural Air-Conditioning System

Weng

Kau

2019

Journal of Healthcare Engineering

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A person stays indoors for about 85%∼90% time of his lifetime, and the need for a comfortable indoor environment is getting higher; thus, the air-conditioning dependency becomes intense too. Nowadays, residents focus on both the comfortable living environment and indoor air quality. A closed environment will become hazardous because of carbon dioxide released during respiration and toxic organic solvent vapor released from interior decoration. In order to improve the indoor air quality (IAQ), we must allow outer fresh air into the indoor space and release the dirty air out. But while taking in fresh air, the heat and factory/vehicle exhaust are also introduced. Indoor CO2, HCHO, and VOCs and outer dirty gas threaten human health badly. To solve this problem, we bring up an innovative low-power-consuming full-outer-air-intake natural air-conditioning system that completely separates intake and exhaust air, which is a solution for cross-contamination and makes mass/energy exchange by means of air and water. Design airflow exceeds 300∼500 CFM, steam evaporation mass rate reaches 3.13∼3.88 kg/hr, and heat exchange capacity becomes 1,855∼2,300 kcal/hr. The sensible heat effectiveness is 71%∼112%, and EER exceeds 14.05∼17.42 kcal/W·h. In addition, the system under design can be of positive or negative pressure status according to the user’s or work’s requirement. It creates a comfortable and healthy living environment by supplying clean and fresh outer ambient air with low power consumption.

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“…Such PIP controllers have been utilised in a range of application areas e.g. [8], [9], [10], [11] and they also show promise for biomedical control applications [12]. In the discrete-time case, the non-minimal state vector consists of the present and past sampled values of the output, past sampled values of the input and, commonly, an integral-of-error term.…”

Section: Introductionmentioning

confidence: 99%

[Regular Paper] Stochastic Non-minimal State Space Control with Application to Automated Drug Delivery

Wilson

Clairon

Taylor

2018

2018 IEEE 18th International Conference on Bioinformatics and Bioengineering (BIBE)

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This paper shows how a standard proportionalintegral-plus controller, based on a non-minimal state space (NMSS) design, can be extended to reduce the effects of measurement noise and so yield smoother control inputs for automated drug delivery control applications. Use of a NMSS model for state variable feedback control design, in which all the states are based on the directly measured input and output variables, removes the need for state estimation. Nonetheless, a stochastic NMSS form, with a Kalman filter, can optionally be introduced to reduce the effect of measurement noise and so yield smoother control inputs. In this case, the Kalman filter attenuates measurement noise but does not address state disturbances. In this article, we propose a modification to the stochastic NMSS control system to enable the elimination of such state disturbances. This involves further extending the non-minimal state vector to include additional terms based on the innovations. We compare the deterministic, stochastic and extended stochastic NMSS controllers via a simulation of the control of anaesthesia using propofol.

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Cost effective combined axial fan and throttling valve control of ventilation rate

Cited by 25 publications

References 13 publications

Continuous-Time Feedforward Proportional-Integral-Plus Control

Continuous-Time Feedforward Proportional-Integral-Plus Control

Planning and Design of Low-Power-Consuming Full-Outer-Air-Intake Natural Air-Conditioning System

[Regular Paper] Stochastic Non-minimal State Space Control with Application to Automated Drug Delivery

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