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Comparative study of some optimization techniques applied to Jacketed CSTR control

Comparative study of some optimization techniques applied to...

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International Conference on Reliability, Infocom Technologies and Optimization (ICRITO) (Trends and Future Directions)

作者： Pradeep Gupta Vineet Kumar K.P.S. Rana Puneet Mishra Division of Instrumentation and Control Engineering Netaji Subhas Institute of Technology New Delhi India

In this paper, the performance of four optimization techniques i.e. Grey Wolf Optimizer (GWO), Backtracking Search Algorithm (BSA), Differential Evolution (DE), and Bat Algorithm (BA) have been investigated for optimizing the scaling factors of fuzzy proportional-integral controller (FPIC). Jacketed continuous stirred tank reactor (CSTR) has been considered for step set-point and trajectory tracking of reactor temperature. The present work has been simulated in LabVIEW™. The performance of aforementioned algorithms has been evaluated by comparing the cost function Integral of Absolute Error for step set-point and trajectory tracking. On the basis of simulation results, it can be inferred that, GWO outperformed other optimization algorithms for all considered cases.

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Split-range control of a Jacketed CSTR using self-tuning fuzzy PI controller

Split-range control of a Jacketed CSTR using self-tuning fuz...

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International Conference on Advances in Computer engineering and Applications (ICACEA)

作者： Pradeep Gupta K.P.S. Rana Vineet Kumar Puneet Mishra Division of Instrumentation and Control Engineering Netaji Subhas Institute of Technology New Delhi India

ISBN: (纸本)9781467369121

CSTR is a highly non-linear process and the nonlinear behavior of such processes requires other methods than conventional control. This paper addresses a novel application of Self-tuning Fuzzy PI controller (STFPIC) to a Split-range control strategy for circulation of cold fluid or hot fluid through Jacketed Continuous Stirred Tank Reactor (CSTR) in cascade control mode. In the primary loop STFPIC was used while in the secondary loop conventional proportional controller was implemented. Self-tuning mechanism of fuzzy PI controller is implemented with the help of a gain multiplier whose value is updated based on the instant error and rate of change of error. Grey Wolf Optimizer is used for tuning of primary as well as secondary controller gains in order to reduce Integral of Absolute Error (IAE). The overall approach has been simulated in LabVIEW™ environment and a comparative study of STFPIC with conventional PID controller have been presented in this paper. Based on the intensive simulation studies it is found that the STFPIC outperformed PID for set-point tracking by 62.5% and for disturbance rejection by 63.4%, in terms of IAE.

关键词： Process control Fluids Inductors Temperature control Chemical reactors Valves Temperature distribution

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Development of Bat Algorithm toolkit in LabVIEW™

Development of Bat Algorithm toolkit in LabVIEW™

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International Conference on Computing, Communication & Automation (ICCCA)

作者： Karan Singh Thakur Vineet Kumar K.P.S Rana Puneet Mishra Jitendra Kumar Sreejith S. Nair Division of Instrumentation and Control Engineering Netaji Subhas Institute of Technology New Delhi India

ISBN: (纸本)9781479988914

Meta-heuristic optimization algorithms are very useful tool for obtaining an optimal solution of engineering optimization problems. Bat Algorithm (BA) is one of the recent meta-heuristic algorithms. It has been claimed to be superior to its counter parts. On the other hand LabVIEW ™ is a versatile software tool being utilized for measurement and control applications in various engineering domains worldwide. The standard LabVIEW ™ package is only supplied with the Differential Evolution (DE) Toolkit for optimization. At times need was felt to develop a better optimization support in the LabVIEW ™ package. In this work a genuine effort has been made for this task and a BA Toolkit has been developed in LabVIEW ™ . The detailed development strategy, component descriptions and their interfaces and a comparison of the obtained results with the DE optimization toolkit has been presented in this paper for a set of classical benchmark functions.

关键词： Optimization Sociology Statistics Benchmark testing Upper bound Automation Instruments

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CCII based half integrator using different approximation methods

CCII based half integrator using different approximation met...

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IEEE UP Section Conference on Electrical Computer and Electronics (UPCON)

作者： Divya Goyal Pragya Varshney Division of Instrumentation & Control Engineering Netaji Subhas Institute of Technology New Delhi India

Current conveyors are widely used to implement current mode, voltage mode and mixed mode circuits of integer order. In this paper, a fractional order system is implemented using second generation current conveyor and a fractance device i.e. an RC network. The fractional order integrator of order half is designed for various s-domain models available in literature. The proposed integrators are realized in PSpice using 0.25um CMOS technology parameters.

关键词： Integrated circuit modeling Transfer functions Instruments CMOS integrated circuits Fractional calculus Semiconductor device modeling Transconductance

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Stiction combating intelligent controller tuning: A comparative study

Stiction combating intelligent controller tuning: A comparat...

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International Conference on Advances in Computer engineering and Applications (ICACEA)

作者： Puneet Mishra Vineet Kumar K. P. S. Rana Division of Instrumentation and Control Engineering Netaji Subhas Institute of Technology New Delhi India

ISBN: (纸本)9781467369121

This paper investigates the effects of different controller tuning approaches on an intelligent controller, namely Stiction Combating Intelligent controller (SCIC) earlier developed by the authors. The SCIC controller is inherently a variable gain fuzzy Proportional-Integral (PI) controller based on Takagi-Sugeno model and was specifically designed to handle the stiction nonlinearity in a control loop in presence of a sticky pneumatic control valve. Three different tuning methods, viz. Ziegler-Nichols, Tyreus-Luyben and Direct synthesis (DS) tuning approach, which are extensively employed in process industries to tune Proportional-Integral-Derivative controllers, are tested in this work to find the gains of SCIC and PI controller. The performance of both, SCIC and PI controllers, are rigorously evaluated experimentally on a laboratory scale nonlinear flow process for setpoint tracking, disturbance rejection, and robustness testing. Based on extensive experimental analysis it can be concluded that the SCIC controller tuned using DS approach performed best for almost all cases.

关键词： Tuning Process control Valves Limit-cycles Oscillators Converters Transfer functions

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Velocity and position forms of self-tuning Fuzzy PI controller applied to jacketed CSTR

Velocity and position forms of self-tuning Fuzzy PI controll...

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IEEE India Conference (INDICON)

作者： Pradeep Gupta Vineet Kumar K.P.S. Rana Puneet Mishra Division of Instrumentation and Control Engineering Netaji Subhas Institute of Technology Dwarka New Delhi India

ISBN: (纸本)9781467365413

This paper presents an application of self-tuning Fuzzy PI controller (STFPIC) in velocity form (VF) and position form (PF) to control the jacketed Continuous Stirred Tank Reactor (CSTR) in a cascade configuration. CSTR is a highly non-linear process and requires non-conventional intelligent control techniques for stable and efficient operations. Self-tuning fuzzy logic controllers are one such option, usually employed for control of CSTR. STFPIC generates the gain updating factor according to the dynamics of the process, which modifies the output scaling factor. Two configurations have been investigated in cascade mode i.e., STFPIC in VF in primary loop and conventional proportional (P) controller in secondary loop, and in the other case STFPIC in PF in primary loop and conventional P used in secondary loop. Further, to tune the performance of the controllers a grey wolf optimizer has been utilized for obtaining minimum Integral of Absolute Error (IAE) for set-point tracking. The overall approach has been simulated in LabVIEW™ environment and a comparative study with the PID controller have been presented in this paper. Based on the intensive simulation it is found that, for set-point tracking, STFPIC in VF outperformed STFPIC in PF by 31.79% and PID by 69.40%, whereas for disturbance rejection STFPIC in VF outperformed STFPIC in PF by 26.37% and PID by 72.95%, in terms of IAE. Based on these investigations it is recommended that VF of STFPIC should be employed for efficient control of non-liner jacketed CSTR.

关键词： Chemical reactors Inductors Temperature control Process control Temperature Tuning Mathematical model

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Half-integrator approximation analysis and its realizations

Half-integrator approximation analysis and its realizations

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International Conference on Soft Computing Techniques and Implementations (ICSCTI)

作者： P. Varshney Division of Instrumentation and Control Engineering Netaji Subhas Institute of Technology Dwarka New Delhi INDIA

Due to the absence of appropriate mathematical methods, fractional order dynamic systems were studied only marginally in both theory and practice. In this paper, continuous-time and discrete-time approximations of half integrator have been analyzed and compared. An approach for the realization of half integrator is also presented. MATLAB simulation results are presented and comparisons performed with the ideal continuous-time domain half integrator. Analog Realizations of some of the s-domain models has also been discussed. Discrete Realizations of the z-domain models have been developed and results compared with the ideal continuous-time domain models.

关键词： Read only memory

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Efficient air pollutants prediction using ANFIS trained by Modified PSO algorithm

Efficient air pollutants prediction using ANFIS trained by M...

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International Conference on Reliability, Infocom Technologies and Optimization (ICRITO) (Trends and Future Directions)

作者： S. Sharma U. Kalra S. Srivathsan K.P.S. Rana V. Kumar Instrumentation and Control Engineering Division Netaji Subhas Institute of Technology Dwarka New Delhi India

In the modern day world air pollution has been a major concern for various environmental diseases. High traffic density, electricity production, and expanding commercial and industrial activities have increased air pollution in an unpredictable manner. Thus, the forecast of air pollution can be used as an advisory to establish strategies and corrective measures particularly in case of higher air pollution levels. In view of this, in this work we investigate an application of Modified Particle Swarm Optimization (MPSO) to train ANFIS (Adaptive Neuro Fuzzy Inference System) for the efficient prediction of two major air pollutants namely, Sulphur dioxide (SO 2 ) and Ozone (O 3 ) in New Delhi. The results obtained are then compared with the traditional gradient based method normally used for training ANFIS. The comparison between the two was based on three performance indices, namely MSE (Mean Squared Error), RMSE (Root Mean Squared Error) and MAD (Mean Absolute Deviation). For SO 2 prediction MSE, RMSE and MAD of 0.110, 0.331 and 0.932 were obtained using the proposed method against 0.117, 0.342 and 1.03 respectively using the traditional method. Similarly for O 3 prediction, MSE, RMSE and MAD of 0.837, 0.700 and 2.49 were obtained against 0.878, 0.812 and 2.93 respectively. These results clearly indicate that ANFIS trained using MPSO is far better at generalizing, achieving higher accuracy for the prediction of SO 2 and O 3 air pollutants.

关键词： Air pollution Artificial neural networks Training Fuzzy logic Firing Atmospheric measurements Particle swarm optimization

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Some studies on SMC applied to a robotic manipulator

Some studies on SMC applied to a robotic manipulator

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IEEE India Conference (INDICON)

作者： Pranav Raman K.S. Mehra J. Kumar K.P.S. Rana V. Kumar Netaji Subhas Institute of Technology New Delhi Delhi IN Instrumentation and Control Engineering Division Netaji Subhas Institute of Technology Dwarka New Delhi-110078 India

Robotic manipulator is a multi-input multi-output (MIMO), highly nonlinear and coupled system. controlling this system always has been a challenging task for control engineers. In this paper, sliding mode control (SMC) technique utilizing Proportional and Derivative (PD) surface with different reaching laws has been applied on a two-link planar rigid robotic manipulator. Performance of PD sliding surface has been investigated with three different control laws namely, constant rate, exponential and power rate reaching law. Stability of the studied controller configurations have been demonstrated using Lyapunov theory. One of the major problems in SMC, “chattering” is reduced by introducing boundary layer in the controller. Genetic Algorithm optimization technique is used for tuning of parameters of SMC and boundary layer in all the cases for minimum Integral Absolute Error and chattering. Simulation results revealed that all the investigated laws performed equally for set-point tracking and the constant rate reaching law outperforms the other two laws for noise suppression. Also, all three reaching control laws of SMC offered significantly enhanced trajectory tracking and chattering performance as compared to recent literature.

关键词： Manipulators Trajectory Service robots MATLAB Sociology Statistics

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FPGA implementation of interpolation techniques for thermistor linearization

FPGA implementation of interpolation techniques for thermist...

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IEEE International Conference on Signal Processing, Computing and control (ISPCC)

作者： Anish Batra K.P.S. Rana Vineet Kumar S. S. Nair Puneet Mishra Instrumentation and Control Engineering Department Netaji Subhas Institute of Technology New Delhi India

Thermistor is a novel temperature sensing device as it is highly sensitive while being rugged, compact and of low cost. The only drawback with a thermistor is its exponential nonlinear relation between temperature and resistance. Therefore, a mechanism to make the thermistor a linear device is an essential requirement for thermistor based temperature measurements. Several linearizing techniques have been proposed by the researchers, and out of these, interpolation is widely used due to its easy implementation while offering good linearity. The present work aims to provide a comparative study for five interpolation based linearization methods namely Nearest, Linear, Spline, Cubic Hermite and Lagrange. These techniques have been successfully simulated and implemented on FPGA in LabVIEW environment and a performance comparison has been made on the basis of the Mean Square Error (MSE), Mean Absolute Deviation (MAD) and hardware resource (HR) utilization. In this paper, MSE for Nearest, Linear, Spline, Hermite and Lagrange has been found to be 247.5×10-6, 71.5×10-6, 7.57×10-6, 25.5×10-6 and 2.84×10-6 respectively and MAD has been found to be 52.6×10-4, 20.008×10-4, 7.07×10-4, 9.92×10-4 and 3.142×10-4 respectively for 20 sections. It was also observed that nearest interpolation used minimum (21% slices), Hermite used maximum (71% slices) and Lagrange method used moderate (42% slices) HR. Experimental validation results demonstrated MSE for Nearest, Linear, Spline, Hermite and Lagrange interpolation as 583.47×10-6, 146.2×10-6, 63.165×10-6, 77.97×10-6, and 6.86×10-6, respectively and MAD of 75.886×10-4, 44.128×10-4, 20.9×10-4, 22.635×10-4 and 9.1129×10-4, respectively. Based on the above result Lagrange method offers the best interpolation while utilizing HR.

关键词： Interpolation Temperature measurement Thermistors Splines (mathematics) Temperature sensors Field programmable gate arrays Temperature

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