Bode-like control loop performance index evaluated for a class of fractional-order processes

Skarda, Radek; Čech, Martin; Schlegel, M.

doi:10.3182/20140824-6-za-1003.01217

Cited by 11 publications

(4 citation statements)

References 18 publications

(9 reference statements)

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“…This module implements SW code for self-identification of the controlled device and auto-tuning of the position and speed control loops [19]. In such a way, a control system reacts to variable machine dynamics [46]. Consequently, it has a role in diagnostic and maintenance planning.…”

Section: Self-commissioning Velocity and Position Control Loops (Bb6)mentioning

confidence: 99%

Pushing Mechatronic Applications to the Limits via Smart Motion Control

2021

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Modern machines strive to run at limit performance and dependability while their operational area and size are getting restricted. To achieve those objectives, often swift integration of custom-made subsystems is required, either actuators, sensors, electronic, or SW modules. Such a diverse suite of elements needs specific approaches and tools for fast optimization and adjustment following model-based system engineering (MBSE) and digital twinning principles. The large-scale I-MECH project was an industry-driven initiative striving to give a scientific response to those demands. The intermediate results were summarized in the authors’ previous work. The purpose of this paper is to report on final project results, namely specific performance achievements and figures based on measurable KPIs. After a brief description of key technologies, special focus is given to industrial printing technology based on a generic substrate carrier. However, it is shown that similar and consistent methodology can be applicable in many other industrial domains, such as semiconductors, healthcare robotics, machining, packaging, etc. Thus, the main merit of this survey is a holistic approach to motion control design.

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Section: Self-commissioning Velocity and Position Control Loops (Bb6)mentioning

confidence: 99%

Pushing Mechatronic Applications to the Limits via Smart Motion Control

2021

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“…Model-free approaches use only a posteriori control loop data. Techniques are defined within different domains such as: integral time indexes [19], correlation methods [20], statistical distributions [21], frequency domain [22], support vector machines [23], Hurst exponent [24] and entropies [25], time series persistence [26], specific business KPIs [27], etc.…”

Section: Control System Assessmentmentioning

confidence: 99%

Multicriteria Ammonia Plant Assessment for the Advanced Process Control Implementation

et al. 2020

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Rehabilitation of control systems or implementation of Advanced Process Control (APC) in any large scale industrial installation poses several challenges. First of all, the implementation process has to meet stringent safety regulations. Moreover, it has to minimize normal production violation. All human, technology and control system risks need to be identified and a mitigation plan has to be prepared. Once the implementation limitations are fulfilled the installation requires to be prepared. The plant needs to be comprehensively assessed. All APC project related aspects, like control system or process instrumentation must be reviewed. Furthermore existing installation performance has to be measured for further justification of project results. The paper presents authorial assessment methodology aiming at the installation preparation before APC implementation. It is obvious that any supervisory control helps only when the underlying process, infrastructure and regulatory base control operates properly. Any performance malfunctioning within plant equipment or base control logic misfit limits, even the most sophisticated APC. The paper presents developed and practically adopted comprehensive multicriteria assessment procedure, which prepares the large scale chemical installation for APC supervisory control upgrade. Proposed procedure is accompanied with identified implementation risks and their mitigation plan.INDEX TERMS APC, ammonia plant, control system quality, equipment assessment, multicriteria analysis.

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“…In 2017, Fang et al [29] evaluated the IMC-PID controller by a LQG benchmark in case of the model matching and the model mismatch on the heating furnace. Škarda et al [30] proposed a new performance evaluation index based on the sensitivity function of ideal shape. The corresponding optimal achievable performance is calculated for all processes belonging to the fractional model sets controlled by PID-type controller.…”

Section: Introductionmentioning

confidence: 99%

Performance Assessment of FO-PID Temperature Control System Using a Fractional Order LQG Benchmark

Zou

2020

IEEE Access

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In this paper, a fractional order LQG benchmark is proposed for the control performance assessment of fractional order control systems. Similar to the conventional LQG benchmark, the fractional order LQG performance benchmark curve is determined by the numerical calculation method, which avoids the calculation of the complex interaction matrix. The fractional order process model is discretized via fractional order calculus. Meanwhile, the fractional order integral is introduced into the conventional LQG cost function. Then solving the linear quadratic Gaussian problem under the fractional order model and fractional control, the optimal input and output variances are determined for different weighting factors and the performance curves can be achieved. The comparison between fractional order LQG and the conventional LQG shows the improvement of the proposed benchmark under the same condition. The proposed benchmark can provide a more direct and superior reference standard to evaluate the performance of fractional order control system. Finally, a case study of fractional order PID(FO-PID) controller in industrial heating furnace temperature control experiment with model matching and model mismatch conditions is used to verify the effectiveness of the proposed benchmark.

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Bode-like control loop performance index evaluated for a class of fractional-order processes

Cited by 11 publications

References 18 publications

Pushing Mechatronic Applications to the Limits via Smart Motion Control

Pushing Mechatronic Applications to the Limits via Smart Motion Control

Multicriteria Ammonia Plant Assessment for the Advanced Process Control Implementation

Performance Assessment of FO-PID Temperature Control System Using a Fractional Order LQG Benchmark

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