A method for PID controller tuning using nonlinear control techniques

Mhaskar, Prashant; El‐Farra, Nael H.; Christofides, Panagiotis D.

doi:10.1002/aic.10566

Cited by 10 publications

(5 citation statements)

References 22 publications

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“…In this section the resulting AVSS performance and the performance of the optimal routines relative to one another will be studied. The objective function has the form presented in equations (27) to (32). The rest of this section will be devoted to describing the algorithms.…”

Section: Evolutionary and Global Optimization Algorithmsmentioning

confidence: 99%

“…[8][9][10][11][12][13][14][15][16][17] Stability and robust characteristics are well established for these techniques, but these properties become highly limited when implemented in nonlinear AVSS. 18 Successful application usually depends on availability of good dynamic model of the system and availability of all the states. Implementation of nonlinear techniques like feedback linearization requires guarantee of stable zero dynamics in the system; backstepping requires repeated differentiation of the system's nonlinear function and their implementation practically is usually characterized by chattering.…”

Section: Introductionmentioning

confidence: 99%

“…Its potentials have been documented already in the literature. [27][28][29][30][31][32][33][34][35][36] Benefit of this approach is that the optimization algorithms can use their objective functions to satisfy specified or required performance criterion.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Proportional + integral + derivative control of nonlinear full-car electrohydraulic suspensions using global and evolutionary optimization techniques

Dahunsi

Dangor

Pedro

et al. 2019

Journal of Low Frequency Noise, Vibration and Active Control

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Resolving the trade-offs between suspension travel, ride comfort, road holding, vehicle handling and power consumption is the primary challenge in the design of active vehicle suspension system. Multi-loop proportional + integral + derivative controllers’ gains tuning with global and evolutionary optimization techniques is proposed to realize the best compromise between these conflicting criteria for a nonlinear full-car electrohydraulic active vehicle suspension system. Global and evolutionary optimization methods adopted include: controlled random search, differential evolution, particle swarm optimization, modified particle swarm optimization and modified controlled random search. The most improved performance was achieved with the differential evolution algorithm. The modified particle swarm optimization and modified controlled random search algorithms performed better than their predecessors, with modified controlled random search performing better than modified particle swarm optimization in all aspects of performance investigated both in time and frequency domain analyses.

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Section: Evolutionary and Global Optimization Algorithmsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Proportional + integral + derivative control of nonlinear full-car electrohydraulic suspensions using global and evolutionary optimization techniques

Dahunsi

Dangor

Pedro

et al. 2019

Journal of Low Frequency Noise, Vibration and Active Control

View full text Add to dashboard Cite

show abstract

“…The general transfer function for a PID controller in Laplace domain can be written as shown in (9) where K P is the proportional gain, K I is the integral gain and K D is the derivative gain [12]. Considering the effect of each term in the PID controller the PID gains were selected through a trial and error approach and were then tuned by simulation with final values of: K P = 0.67, K I = 0.55 and K D = 0.01…”

Section: Pid Controller Designmentioning

confidence: 99%

“…This transfer function was then used to analyze the performance of the system and to design proper controllers to meet the design criteria. For the compensator design, the locations of the desired poles were found out from the proposed values of settling time, rise time and percentage overshoot [8,9]. Using root locus, it was found that a lead compensator is required to place poles in the desired locations.…”

Section: Introductionmentioning

confidence: 99%

Improvement of Transient Response of a DC Motor Controller Based on Non-Linear Optimization Techniques

Hasan¹

2018

IJETR

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In this study, various precise and appropriate control systems that use a DC motor, have been simulated for improved transient response. Three controllers: lead-lag compensator, conventional Proportional-Integral-Derivative (PID) and Fuzzy logic controller were designed and simulated in order to analyse the performance. Among them, Fuzzy logic algorithm tuning for PID controller exhibits better transient response for DC motor actuators.

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Nonlinear PI controllers with output transformations

Lee

Edgar

2015

AIChE Journal

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Well-designed nonlinear proportional-integral (PI) controllers are successful for nonlinear dynamical processes like linear PI controllers are for linear processes. Two nonlinear blocks representing proportional and integral terms can be designed so that the linearized controllers perform the same as linear PI controllers for linearized processes at the given operating points. For some nonlinear processes, nonlinear blocks for nonlinear PI controllers can be singular at some operating points, and control performances can be poor for set points near those points. To mitigate such disadvantages, new nonlinear PI controllers that introduce output transformations are proposed. Several examples are given, showing the performance of the proposed nonlinear PI controllers. V C 2015 American Institute of Chemical Engineers AIChE J, 61: [4264][4265][4266][4267][4268][4269] 2015

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A method for PID controller tuning using nonlinear control techniques

Cited by 10 publications

References 22 publications

Proportional + integral + derivative control of nonlinear full-car electrohydraulic suspensions using global and evolutionary optimization techniques

Proportional + integral + derivative control of nonlinear full-car electrohydraulic suspensions using global and evolutionary optimization techniques

Improvement of Transient Response of a DC Motor Controller Based on Non-Linear Optimization Techniques

Nonlinear PI controllers with output transformations

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