Showing papers by "Kishore Bingi published in 2020"

Fractional-Order Predictive PI Controller for Dead-Time Processes With Set-Point and Noise Filtering

Abstract: In most of the industrial process plants, PI/PID controllers have been widely used because of its simple design, easy tuning, and operational advantages. However, the performance of these controllers degrades for the processes with long dead-time and variation in set-point. Up next, a PPI controller is designed based on the Smith predictor to handle dead-time processes by compensation technique, but it failed to achieve adequate performance in the presence of external noise, large disturbances, and higher-order systems. Furthermore, the model-based controllers structure is complex in nature and requires the exact model of the process with more tunable parameters. Therefore, in this research, a fractional-order predictive PI controller has been proposed for dead-time processes with added filtering abilities. The controller uses the dead-time compensation characteristics of the Smith predictor and the fractional-order controller’s robustness nature. For the high peak overshoot, external noise, and disturbance problems, a new set-point and noise filtering technique is proposed, and later it is compared with different conventional methods. In servo and regulatory operations, the proposed controller and filtering techniques produced optimal performance. Multiple real-time industrial process models are simulated with long dead-time to evaluate the proposed technique’s flexibility, set-point tracking, disturbance rejection, signal smoothing, and dead-time compensation capabilities.

Fractional-order Predictive PI Controller for Process Plants with Deadtime

Abstract: Predictive PI controllers have been widely used for industrial process plants with deadtime. This is due to its advantages of simple design, easy tuning, and implementation. However, this smith predictor based structure failed to achieve adequate performance in the presence of high disturbances and variation in set-point. Therefore, in this research, fractional-order predictive PI controller has been proposed for deadtime processes. The controller is based on the predictive nature of Smith Predictor and robustness nature of fractional-order controller. The proposed approach consistently manages to give a better closed-loop performance for both servo and regulatory process operations. Various real-time industrial process plant models are simulated with longer dead-time to evaluate the controller flexibility, effectiveness of handling disturbance, and time-delay compensation capabilities. Tuning rules for the proposed controller has derived analytically by using first-order plus deadtime (FOPDT) process model in frequency domain representation.

Hybrid ABFA-APSO Algorithm

Abstract: The aim of this chapter is to propose improvement to the adaptation of bacterial foraging algorithm (BFA) and to hybridize it with accelerated particle swarm optimization (APSO) in order to accelerate its convergence. In the proposed algorithm, the random walk in the chemotaxis stage of the ABFA is updated through the velocity equation of the APSO.

Filtered Predictive PI Controller for WirelessHART Networked Systems

Abstract: Recently, increasing attention has been paid towards applying wireless technology for control. This is due to its advantages of flexibility, scalability, use of fewer cables and overall reduced operational cost compared to its wired counterpart. However, the technology is often affected by stochastic delay and high frequency noise. PIDs are ill-equipped to deal with these problems while model based controllers such as dead-time compensators (DTCs) like Smith predictor and internal model controllers (IMCs) are complex and require exact plant model for implementation.

Hybrid APSO–Spiral Dynamic Algorithm

Abstract: The accelerated particle swarm optimisation (APSO) is an improved variant of the PSO algorithm that guarantees convergence through the use of only global best to update both velocity and position of particles.

An Integer-Order Transfer Function Estimation Algorithm for Fractional-Order PID Controllers

Abstract: Fractional-order systems and controllers have been extensively used in many control applications to achieve robust modeling and controlling performance. To implement these systems, curve fitting based integer-order transfer function estimation techniques namely Oustaloup and Matsuda are most widely used. However, these methods are failed to achieve the best approximation due to the limitation of the desired frequency range. Thus, this article presents a simple curve fitting based integer-order transfer function estimation method for fractional-order differentiator/integrator using frequency response. The advantage of this technique is that it is simple and can fit the entire desired frequency range. Using the approach, an approximation table for fractional-order differentiator has also been obtained which can be used directly to obtain the approximation of fractional-order systems. A simulation study on fractional systems shows that the proposed approach produced better parameter approximation for the desired frequency as compared to Oustaloup, refined Oustaloup and Matsuda techniques.

Fractional-order Set-Point Weighted Controllers

Abstract: In the first section of this chapter, a critical review of the PID controller and modified PID control strategies include set-point weighted PID, PI-PD, and fractional-order PID is presented. In the second section, the design of fractional-order set-point weighted PID (SWPI\(^\lambda \)D\(^\mu \)) controller will be discussed. Here, the control strategy will be developed for standard, industrial, parallel and ideal configurations of the controller. In the third section, the design of fractional-order PI-PD (PI\(^\lambda \)-PD\(^\mu \)) controller in two single-loop control configurations are presented. In both cases, the conversion of controller parameters between various control strategies is presented. The next succeeding sections of the chapter will present the case studies on real-time pH neutralization and pressure processes for the implementation and evaluation of designed fractional-order set-point weighted PID control strategies. Finally, the last section will summarize the chapter.

Scilab Based Toolbox for Fractional-order Systems and PID Controllers

Abstract: In this chapter, a toolbox for fractional-order systems and PI/PID controllers using Scilab will be developed. According to our knowledge, the proposed toolbox is the first Scilab based toolbox for fractional-order systems and controllers. The toolbox will be developed in three stages. Initially, the definitions of fractional-order operators, approximation algorithms and fractional-order differentiator and integrator will be implemented. Using these definitions in the second stage, fractional-order systems, controllers, and filters will be developed. The final stage includes the time and frequency domain analysis as well as numerical and stability analysis of the systems.

Battery’s Life-Time Estimation of Industrial WirelessHART Sensor Actuator Node

Abstract: In industrial applications of wireless technologies, very common, wireless sensor and actuator nodes are installed at fields. Therefore, it is critical to extend battery’s lifetime for ensuring continuous servicing period of field instruments over years. Apart from periodic battery status update during operations of the nodes, at planning stage, plant management team can estimate batteries’ lifetime at field wireless instruments for operational budget estimation and preventive maintenance planning. This work proposes a framework to estimate the battery’s lifetime taken into consideration of periodic update periods and devices’ operational frequencies. The framework is based on the knowledge of wireless node, microcontroller’s power consumption, and battery specifications. Based on the analysis, at particular operational conditions (i.e., update period of 512 s, low-power mode with voltage of 1.8 V), the estimated battery’s lifetime of a wireless node can reach up to 9 years.

Scilab Based Toolbox for Fractional-order Chaotic Systems

Abstract: In this chapter, a Scilab based toolbox has been developed for fractional-order chaotic systems. The systems include fractional-order Van der Pol and duffing oscillators and fractional-order Lorenz, Chen and Rossler’s systems. The dynamic behavior of these systems has been analyzed for various commensurate and non-commensurate orders using Scilab. In all these cases, the numerical solution has been obtained using Grunwald-Letnikov’s definition for fractional-order derivative.

WirelessHART Networked Set-Point Weighted Controllers

Abstract: This chapter presents the development of SW and adaptive SW controller for WHNCS. The SW technique is a powerful and simple method based on the feed-forward strategy. The advantage of this method is that it can be employed to improve systems performance with respect to setpoint tracking ability and disturbance rejection capability. The design gives a two-degree-of-freedom controller in which the first degree of freedom gives good setpoint response while the second degree of freedom gives good disturbance rejection as well as good robustness to model mismatch and other uncertainties. This type of controller adequately falls within the class of controllers to solve the problem of stochastic delay, random noise, and uncertainties.