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Papers by Vijayakumar Kaliappan

Research paper thumbnail of Enhanced ABC Based PID Controller for Nonlinear Control Systems

Indian journal of science and technology, Apr 1, 2015

A Nonlinear PID (NPID) controller tuning based on the Enhanced Artificial Bee Colony (E-ABC) algo... more A Nonlinear PID (NPID) controller tuning based on the Enhanced Artificial Bee Colony (E-ABC) algorithm is presented. The ABC algorithm uses the foraging behavior of honey bee swarm to find the optimal PID parameters k p , k i and k d. In this proposed E-ABC, the Particle Swarm Optimization (PSO) swarm intelligence behavior is inherited to ABC scout bee to get proper selection of food source. The convergence characteristics of the E-ABC based optimization shows that the proposed method provides better controller settings with minimum iteration. To show the effectiveness of the proposed method, it is presented to the nonlinear Continuous Stirred Tank Reactor (CSTR) process and the results are compared with the conventional Internal Model Control (IMC) tuning method, and heuristic approaches viz., Genetic Algorithm (GA), Simulated Annealing (SA), PSO and other hybrid methods based PID performances. From the results of integral performance criterions viz., ISE, IAE and ITAE, it is evident that the proposed E-ABC provides better tracking and improves closed loop accuracy.

Research paper thumbnail of Design of Optimum Pid Controller for Nonlinear Process Using Evolutionary Algorithms

In past decades, PID controller was mostly preferred because of its robust behavior in a spread o... more In past decades, PID controller was mostly preferred because of its robust behavior in a spread over range of operating conditions. However the conventional PID tuning procedure is not suitable for getting the optimized controller parameters under the identified operating regions. Therefore, an optimum Particle Swarm Optimization (PSO) based Proportional-Integral-Derivative (PID) controller is proposed for controlling the nonlinear process with optimized PID parameters settings. The PSO computation technique has many advantages like high quality solution, less computation time and good convergence characteristics. The tuning of PID parameters through optimization algorithms provides high quality solution for nonlinear processes. The performance indices such as ISE, IAE and ITSE were studied to evaluate the proposed controller performances. The proposed PID controller is presented to a nonlinear Continuous Stirrer Tank Reactor (CSTR) process for controlling the concentration by manip...

Research paper thumbnail of Enhanced ABC Based PID Controller for Nonlinear Control Systems

Indian Journal of Science and Technology, 2015

A Nonlinear PID (NPID) controller tuning based on the Enhanced Artificial Bee Colony (E-ABC) algo... more A Nonlinear PID (NPID) controller tuning based on the Enhanced Artificial Bee Colony (E-ABC) algorithm is presented. The ABC algorithm uses the foraging behavior of honey bee swarm to find the optimal PID parameters k p , k i and k d. In this proposed E-ABC, the Particle Swarm Optimization (PSO) swarm intelligence behavior is inherited to ABC scout bee to get proper selection of food source. The convergence characteristics of the E-ABC based optimization shows that the proposed method provides better controller settings with minimum iteration. To show the effectiveness of the proposed method, it is presented to the nonlinear Continuous Stirred Tank Reactor (CSTR) process and the results are compared with the conventional Internal Model Control (IMC) tuning method, and heuristic approaches viz., Genetic Algorithm (GA), Simulated Annealing (SA), PSO and other hybrid methods based PID performances. From the results of integral performance criterions viz., ISE, IAE and ITAE, it is evident that the proposed E-ABC provides better tracking and improves closed loop accuracy.

Research paper thumbnail of Performance comparison of estimation-based control schemes for hybrid systems

Transactions of the Institute of Measurement and Control, 2021

In this paper, the authors have proposed an estimation-based control scheme. Artificial neural ne... more In this paper, the authors have proposed an estimation-based control scheme. Artificial neural network and unscented Kalman filter are used for state estimation and inverse dynamics controller is implemented that utilizes the estimation of unmeasured state variables. The benchmark example taken for the analysis and implementation is nonlinear autonomous three-tank hybrid system and non-autonomous switched mode non-isothermal continuous stirred tank reactor, which are subjected to state and measurement noise. The performance comparison of both proposed estimation-based control scheme has been carried out and results are presented. Further, the proposed scheme is validated with three-tank hybrid system experimental setup.

Research paper thumbnail of Nonlinear PID Controller Parameter Optimization using Enhanced Genetic Algorithm for Nonlinear Control System

Journal of Control Engineering and Applied Informatics, 2016

In this brief, Enhanced Genetic Algorithm (EGA) based proportional–integral-derivative (PID) cont... more In this brief, Enhanced Genetic Algorithm (EGA) based proportional–integral-derivative (PID) controller is presented for control of nonlinear dynamic process. In EGA, the crossover and elite kids are optimized using Ant colony Optimization (ACO) algorithm to improve convergence characteristics and optimization capabilities of traditional Genetic Algorithm (GA).The proposed algorithm is implemented for closed loop control of Continuous Stirred Tank Reactor (CSTR) process. The performance of the proposed EGA based PID is validated through the simulation results of nonlinear process by comparing them with the conventional counterpart. The integral performance criterion viz., ISE, IAE and ITAE of the EGA implemented CSTR system revealed a reduction of ISE equal to 1.5704e-4 at 50-150 sampling interval compared to conventional GA based CSTR. The results show that, EGA based nonlinear PID is more suitable for servo and regulatory operations

Research paper thumbnail of Enhanced ABC Based PID Controller for Nonlinear Control Systems

Indian journal of science and technology, Apr 1, 2015

A Nonlinear PID (NPID) controller tuning based on the Enhanced Artificial Bee Colony (E-ABC) algo... more A Nonlinear PID (NPID) controller tuning based on the Enhanced Artificial Bee Colony (E-ABC) algorithm is presented. The ABC algorithm uses the foraging behavior of honey bee swarm to find the optimal PID parameters k p , k i and k d. In this proposed E-ABC, the Particle Swarm Optimization (PSO) swarm intelligence behavior is inherited to ABC scout bee to get proper selection of food source. The convergence characteristics of the E-ABC based optimization shows that the proposed method provides better controller settings with minimum iteration. To show the effectiveness of the proposed method, it is presented to the nonlinear Continuous Stirred Tank Reactor (CSTR) process and the results are compared with the conventional Internal Model Control (IMC) tuning method, and heuristic approaches viz., Genetic Algorithm (GA), Simulated Annealing (SA), PSO and other hybrid methods based PID performances. From the results of integral performance criterions viz., ISE, IAE and ITAE, it is evident that the proposed E-ABC provides better tracking and improves closed loop accuracy.

Research paper thumbnail of Design of Optimum Pid Controller for Nonlinear Process Using Evolutionary Algorithms

In past decades, PID controller was mostly preferred because of its robust behavior in a spread o... more In past decades, PID controller was mostly preferred because of its robust behavior in a spread over range of operating conditions. However the conventional PID tuning procedure is not suitable for getting the optimized controller parameters under the identified operating regions. Therefore, an optimum Particle Swarm Optimization (PSO) based Proportional-Integral-Derivative (PID) controller is proposed for controlling the nonlinear process with optimized PID parameters settings. The PSO computation technique has many advantages like high quality solution, less computation time and good convergence characteristics. The tuning of PID parameters through optimization algorithms provides high quality solution for nonlinear processes. The performance indices such as ISE, IAE and ITSE were studied to evaluate the proposed controller performances. The proposed PID controller is presented to a nonlinear Continuous Stirrer Tank Reactor (CSTR) process for controlling the concentration by manip...

Research paper thumbnail of Enhanced ABC Based PID Controller for Nonlinear Control Systems

Indian Journal of Science and Technology, 2015

A Nonlinear PID (NPID) controller tuning based on the Enhanced Artificial Bee Colony (E-ABC) algo... more A Nonlinear PID (NPID) controller tuning based on the Enhanced Artificial Bee Colony (E-ABC) algorithm is presented. The ABC algorithm uses the foraging behavior of honey bee swarm to find the optimal PID parameters k p , k i and k d. In this proposed E-ABC, the Particle Swarm Optimization (PSO) swarm intelligence behavior is inherited to ABC scout bee to get proper selection of food source. The convergence characteristics of the E-ABC based optimization shows that the proposed method provides better controller settings with minimum iteration. To show the effectiveness of the proposed method, it is presented to the nonlinear Continuous Stirred Tank Reactor (CSTR) process and the results are compared with the conventional Internal Model Control (IMC) tuning method, and heuristic approaches viz., Genetic Algorithm (GA), Simulated Annealing (SA), PSO and other hybrid methods based PID performances. From the results of integral performance criterions viz., ISE, IAE and ITAE, it is evident that the proposed E-ABC provides better tracking and improves closed loop accuracy.

Research paper thumbnail of Performance comparison of estimation-based control schemes for hybrid systems

Transactions of the Institute of Measurement and Control, 2021

In this paper, the authors have proposed an estimation-based control scheme. Artificial neural ne... more In this paper, the authors have proposed an estimation-based control scheme. Artificial neural network and unscented Kalman filter are used for state estimation and inverse dynamics controller is implemented that utilizes the estimation of unmeasured state variables. The benchmark example taken for the analysis and implementation is nonlinear autonomous three-tank hybrid system and non-autonomous switched mode non-isothermal continuous stirred tank reactor, which are subjected to state and measurement noise. The performance comparison of both proposed estimation-based control scheme has been carried out and results are presented. Further, the proposed scheme is validated with three-tank hybrid system experimental setup.

Research paper thumbnail of Nonlinear PID Controller Parameter Optimization using Enhanced Genetic Algorithm for Nonlinear Control System

Journal of Control Engineering and Applied Informatics, 2016

In this brief, Enhanced Genetic Algorithm (EGA) based proportional–integral-derivative (PID) cont... more In this brief, Enhanced Genetic Algorithm (EGA) based proportional–integral-derivative (PID) controller is presented for control of nonlinear dynamic process. In EGA, the crossover and elite kids are optimized using Ant colony Optimization (ACO) algorithm to improve convergence characteristics and optimization capabilities of traditional Genetic Algorithm (GA).The proposed algorithm is implemented for closed loop control of Continuous Stirred Tank Reactor (CSTR) process. The performance of the proposed EGA based PID is validated through the simulation results of nonlinear process by comparing them with the conventional counterpart. The integral performance criterion viz., ISE, IAE and ITAE of the EGA implemented CSTR system revealed a reduction of ISE equal to 1.5704e-4 at 50-150 sampling interval compared to conventional GA based CSTR. The results show that, EGA based nonlinear PID is more suitable for servo and regulatory operations