Performance Comparison of Passive Fault Tolerant Control Strategy with PI and Fuzzy Control of Single-Tank Level Process with Sensor and System Fault

Abstract

Fault-Tolerant Control (FTC) strategy has gain maximum attention in recent years in chemical industries due to economical and safety hazards perspective. Targeting at the decreasing control performance of the single-tank level control process under the constraint of system and sensor faults, this article presents model-based Passive Fault-Tolerant Control (PFTC) strategy which are based on conventional and artificial intelligence control. The deviation between system outputs and model output are called residuals and are used to detect and identify faults. The mathematical model of single-tank level system is derived from real time process data using process reaction curve method. The paper discusses about the performance comparison between model-based PFTC using fuzzy logic and conventional proportional Plus Integral controller (PI). The proposed PFTC strategy is applied on single-tank level control process with system and sensor faults and verifies the performance of PFTC using fuzzy logic plus conventional PI control and other PFTC configuration. Proposed PFTC using fuzzy logic plus PI control gives better control performance even though fault occurs in the system. The control performance of different PFTC strategies are measured in terms of Mean Square Error (MSE), Root Mean Square Error (RMSE) and Mean Absolute Error (MAE) indices.

Fault-Tolerant Controller Comparative Study and Analysis for Benchmark Two-Tank Interacting Level Control System

“…The major priority of the FTC is to prevent the creation of simple faults into serious failure, thereby increasing the ability of the system and mitigating the risk of safety hazard [2][3][4]. Over the last three decades, FTC has been the focus of extensive research [5,6]. This research effort has been active in a variety of practical industrial applications [7][8][9][10].…”

Fault-Tolerant Control of a Nonlinear Uncertain System: A Neural Network-Based Passive Approaches and Comparative Study with State-of-the-Art Control Approaches

“…The FTC's major goal is to prevent simple defects from becoming catastrophic failures, increasing system availability and lowering the possibility of a potential hazard (Patel and Shah, 2018a-c;2019c). For the past three decades, FTC has been the topic of extensive research (Patel and Shah, 2018b;2019e). Many actual industrial applications have resulted from this research (Bhandare and Kulkarni, 2015;Bonivento et al, 2004;Noura et al, 2000;Morse and Ossman, 1990).…”

Design of Interval Type 2 Fuzzy Fault-Tolerant Controller for a Non-Minimum Phase System: Application to quadruple conical tank system

“…A passive Fault-tolerant control was design using conventional and artificial intelligence based techniques in [18,20,21,22,24,26,27,28,29,34] and [39] for single input single output (SISO) and multi input multi output (MIMO) cylindrical tank level process subject to actuator, sensor, and system component (Leak) faults. However, in [1], [5], [19], [21], [23], [26] and [30,31] instead of cylindrical tank authors taking conical shape tank, which is having highly nonlinear dynamics due to its shape, also in [1] and [5] author has design controller for quadruple conical tank system with nonminimum and minimum phase configuration.…”