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This paper presents an Internal Model Based (IMC) tuned PI controller for real-time control of a coupled tank liquid level system. The IMC is a model based controller design technique. In present scenario the IMC Controller method is widely used in almost every process control industries as it allows good set point tracking along with sulky disturbance response especially for the process with a small...
In this paper we propose a performance analysis of the robust evolving cloud-based controller (RECCo) according to the different initial scenarios. RECCo is a controller based on fuzzy rule-based (FRB) systems with non-parametric antecedent part and PID type consequent part. Moreover, the controller structure (the fuzzy rules and the membership function) is created in online manner from the data stream...
This paper describes the development of a method to optimally tune constrained MPC algorithms for a nonlinear process. The T-S model is firstly established for nonlinear systems and its sequence parameters of fuzzy rules are identified by local recursive least square method. The proposed method is obtained by minimizing performance criteria in the worst-case conditions to control the process system,...
In this paper, fractional order controller is designed to control the tank level of level process. Based on experimental model of the process, the integer and fractional order controller tuning rules have been compared in order to minimize the integral absolute error (IAE) and integral time absolute error (ITAE) with a constraint on the maximum sensitivity. To test the process model stability, the...
This paper presents a new tuning rule for series cascade control scheme for open loop stable and integrating process models with time delay. A filter dead time compensator scheme has been incorporated in the primary loop of series cascade control structure to improve the servo response and regulatory response. Internal Model Control approach has been used to design the secondary loop controller. Routh...
This paper describes the design of 2DOF controllers that are tuned by modified multiple optimal dominant poles tuning method (MODPP) for the first order process with long time delay. This process can be approximated to an integral plus time delay process. In case of plants with proportional characters that are often tuned from the point of view of servo control, the regulatory control is a trade-off...
A fuzzy power system stabilizer (FPSS) for a wind turbine employing a doubly fed induction generator (DFIG) is presented. The PSS signal is added at the interface of the DFIG controller and the converter, facilitating its application and implementation on any basic DFIG control scheme. The conventional design of PSS was carried out using a linearized model around the nominal operating point of the...
We focus on the control of dissipative distributed parameter systems employing passthrou proper orthogonal decomposition (Passthrou POD) method. The objective of the approach is to develop a model order reduction and control method that is robust to model uncertainty and disturbances and relaxes some of the requirements of standard POD. The proposed method is successfully applied to regulate a representative...
Enhanced etch rate in the phosphorus enriched area in PTEOS/BPSG stacked interlayer dielectric (ILD) during contact open process were shown to have tungsten notch and micro-crack nucleation at the interface. Subsequent CVD TiN and W deposition can lead to penetration into this micro-crack that can lead to delamination after temperature cycling (TC) stress test. The notch defect was a result of higher...
PID controller is widely used in industrial process control, however, because of improper parameter, most of the PID controllers have failed to meet the control requirements. This paper proposes the parameter tuning method of PID controller based on vector model in the complex plane, the method not only can solve parameters of the controller easily and quickly according to the model of controlled...
In this paper, closed loop performance of a system with hard nonlinear limitations is analyzed. In order to adequately control such a challenging process, an Internal Model Control strategy has been implemented. The controller has been applied to a real time process described by a radio satellite antenna. The performance of the closed loop has been evaluated by changing the natural frequency and the...
In this work we investigate the use of parametric statistical methods for Anomaly Detection in time series data. The approach involves the use of simple and computationally efficient algorithms, the Cumulative Sum (CUSUM) and Exponentially Weighted Moving Average (EWMA), that have demonstrated an acceptable performance in detecting different shifts from the process mean. However, while the performance...
Goods-producing industries continuously search to improve the quality of final products. The main approach is to identify a correlation between the process settings and the quality of the final product. In this work, a three steps robust approach is presented to improve an industrial process. The first step consists in using a Support Vector machines Regression (SVR) method to build a model of the...
Engineering students majoring in instrumentation and control require training modules to realize practices in industrial processes and automatic control. Usually these modules are expensive and most are designed to control a single variable. In the present work we design and built a low-cost training module, which makes possible to realize labs practices in the industrial process control area, with...
First, the basic structure and principle of quadrotor UAV and its practical applications are introduced. Then, some control algorithms are also presented, such as, PID, LQR/LQG, H∞, sliding mode, feedback linearization, back stepping, model predictive, robust, adaptive, nested saturation, fuzzy logic, neural network, reinforcement learning, iterative learning, memory and brain emotional learning-based...
In this work in progress paper, we formulate performance robust event-based control strategies with respect to uncertainties in operation processing times. The proposed policies are based on a time-optimal schedule of operation sequences. A logical operation model is used to specify relations between operations. The control policies generate conditions ensuring to maintain the execution order given...
PID control schemes have been widely used in most process industries. Since the control performance strongly depends on PID parameters, it is important to suitably choose a set of these parameters. Especially, it is difficult to determine these parameters in the case where the time-delay is unknown and/or large. On the other hand, it is well-known that the generalized predictive control(GPC) design...
This paper presents an improved version and a modification of Robust Evolving Cloud-based Controller (RECCo). The first modification is normalization of data space in RECCo. As a consequence, some of the evolving and adaptation parameters become independent of the range of the process output signal. Thus the controller tuning is simplified which makes the approach more appealing for the use in practical...
This paper firstly introduces the characteristics of hydrodynamic deep drawing (HDD), which is an important sheet metal forming technology, then points out the necessity of the chamber pressure control. Secondly considering the characteristics of the drawing action is repeated, iterative learning control (ILC) is the proper algorithm. Then introduces the concept of iterative learning control and feedback...
Dynamic optimization techniques for nonlinear systems can provide the process industry with sustainable and efficient operating regimes. However, these regimes often lie close to the operating limits. It is therefore critical that these model based operating conditions are robust with respect to process noise, i.e, unmodeled time-varying random disturbances. Besides the effect of uncertainty in the...
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