A new approach to digital pid controller design

Keel, L.H.; Rego, J.I.; Bhattacharyya, S.P.

doi:10.1109/tac.2003.809768

Cited by 65 publications

(32 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For the current study, we choose the weight factor i w in (14) as following: 1 10, w = (14) is set to 100s. (19) is set to 10 10 . The lower bounds of the three controller parameters are zero and their upper bounds are set to 100.…”

Section: Illustrative Examplementioning

confidence: 99%

“…The popularity of PID control is mainly due to its structural simplicity, demonstrated reliability, and broad applicability. With rigorous theoretical justification, recently several PID control synthesis methods [8][9][10][11][12] have been proposed. These results are applicable only to a given arbitrary SISO linear time-invariant plant.…”

Section: Introductionmentioning

confidence: 99%

“…These results are applicable only to a given arbitrary SISO linear time-invariant plant. The PID stabilization problems were solved in [8][9][10]. By converting the H ∞ design problem into simultaneous complex polynomial stabilization and using the complex PID stabilization results, [11] and [12] provided a linear-programmingbased characterization of all admissible H ∞ PID controllers for a given plant.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Design of an H ∞ PID controller using particle swarm optimization

Zamani

Sadati

Karimi-Ghartemani

2009

Int. J. Control Autom. Syst.

View full text Add to dashboard Cite

This paper proposes a novel method to designing an H ∞ PID controller with robust stability and disturbance attenuation. This method uses particle swarm optimization algorithm to minimize a cost function subject to H ∞ -norm to design robust performance PID controller. We propose two cost functions to design of a multiple-input, multiple-output (MIMO) and single-input, single-output (SISO) robust performance PID controller. We apply this method to a SISO flexible-link manipulator and a MIMO super maneuverable F18/HARV fighter aircraft system as two challenging examples to illustrate the design procedure and to verify performance of the proposed PID controller design methodology. It is shown with the MIMO super maneuverable F18/HARV fighter system that PSO performs well for parametric optimization functions and performance of the PSO-based method without prior domain knowledge is superior to those of existing GA-based and OSA-based methods for designing H ∞ PID controllers.

show abstract

Section: Illustrative Examplementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Design of an H ∞ PID controller using particle swarm optimization

Zamani

Sadati

Karimi-Ghartemani

2009

Int. J. Control Autom. Syst.

View full text Add to dashboard Cite

show abstract

“…And that the digital controller has been designed with deadbeat control theory to achieve fast dynamic response [7,8]. Except for deadbeat control, the control approaches involve PID control [9,10], repetitive control [11,12], instantaneous feedback control, sliding mode control and so on [13,14].…”

Section: Introductionmentioning

confidence: 99%

Simulation Analysis of Improved Construction and Control Strategy for Programmable AC Power Source

Guo¹,

Pei-liang²,

Wang³

2015

Int. J. Onl. Eng.

View full text Add to dashboard Cite

Abstract-Novel circuit topology and advanced control technique of inverter are research focus for programmable AC power source. An improved dual buck half bridge inverter topology is introduced and the central symmetrical pulse width modulation mode is proposed to double the output current ripple frequency. High output precision can be achieved by optimizing the output waveforms of inverter. Then, a hybrid digital control scheme combining PID control with repetitive control as well as inductance compensation deadbeat control is presented for the closed loop voltage regulation of the mentioned inverter. Besides, an inductance saturation characteristic mathematic model is established for accurate simulation. Simulation results show that the theoretical analysis of the special switching sequence and hybrid control scheme is true.

show abstract

“…Digitally-realized pid control, [14], is also affected by noise and time delays whose occurrence is inherent in numerical differentiation. Quantization error, often modeled as noise, which accompanies any numerical implementation, is unavoidable.…”

Section: Introductionmentioning

confidence: 99%

Ineluctability of oscillations in systems with digital implementation of derivative feedback

2011

View full text Add to dashboard Cite

Differentiation in the feedback is common practice in digital control. Yet, the fundamental behavior of the universally employed backward difference of quantized signals has not been studied thus far. We show that velocity always oscillates when this type of feedback is applied to a forced, linear second-order system for any system parameter. We then compute a bound for the oscillation amplitude which can be easily computed given the parameters of the system. Experimental results are in close agreement with the theory. If the system has dry friction, our study yields a sufficient condition for the quenching of spontaneous oscillations.

show abstract

A new approach to digital pid controller design

Cited by 65 publications

References 12 publications

Design of an H ∞ PID controller using particle swarm optimization

Design of an H ∞ PID controller using particle swarm optimization

Simulation Analysis of Improved Construction and Control Strategy for Programmable AC Power Source

Ineluctability of oscillations in systems with digital implementation of derivative feedback

Contact Info

Product

Resources

About