Chattering Free Sliding Mode Control and State Dependent Kalman Filter Design for Underground Gasification Energy Conversion Process

Abstract

The fluctuations in the heating value of an underground coal gasification (UCG) process limit its application in electricity generation, where a desired composition of the combustible gases is required to operate gas turbines efficiently. This shortcoming can be addressed by designing a robust control scheme for the process. In the current research work, a model-based, chattering-free sliding mode control (CFSMC) algorithm is developed to maintain a desired heating value trajectory of the syngas mixture. Besides robustness, CFSMC yields reduced chattering due to continuous control law, and the tracking error also converges in finite time. To estimate the unmeasurable states required for the controller synthesis, a state-dependent Kalman filter (SDKF) based on the quasi-linear decomposition of the nonlinear model is employed. The simulation results demonstrate that despite the external disturbance and measurement noise, the control methodology yields good tracking performance. A comparative analysis is also made between CFSMC, a conventional SMC, and an already designed dynamic integral SMC (DISMC), which shows that CFSMC yields 71.2% and 69.9% improvement in the root mean squared tracking error with respect to SMC and DISMC, respectively. Moreover, CFSMC consumes 97% and 23.2% less control energy as compared to SMC and DISMC, respectively.

Estimation‐Based Event‐Triggered Adaptive Terminal Sliding Mode Control without Pressure Sensors for a Polymer Electrolyte Membrane Fuel Cell Air Feeding System

“…We know that the chattering phenomenon is a common issue in the implementation of conventional sliding mode controllers, which may cause high‐frequency oscillations of control inputs and/or controlled variables. [ 39 ] This is mainly because the sliding mode control law typically includes a discontinuous term (i.e., signum function) and a large robust switching gain to counteract the model mismatch and external disturbances. Here, we concisely summarize how the proposed control technique can alleviate the chattering issue as much as possible.…”

Application of hybrid control algorithm on the vehicle active suspension system to reduce vibrations

“…30 SMC algorithm inherently suffers from chattering phenomenon leading to noisy control signals. 31–33 The fuzzy algorithm can be combined with SMC algorithm to form a “hybrid controller” to solve this problem. 34 Other advanced control algorithms used in control of an active suspension are reported in References 35–39.…”

Passivity-based Rieman Liouville fractional order sliding mode control of three phase inverter in a grid-connected photovoltaic system

“…A fractional order sliding mode control (FOSMC) is used to reduce chattering in a current and power signals. It gradually suppresses signal chattering in a lower order system using traditional sliding mode control (SMC) [30][31][32][33][34]. In [35], a magnetic suspension system of a low speed maglev train was suggested along with the implementation of magnetic suspension controller and a nonlinear mathematical model of the magnetic suspension system.…”