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Qiao X.,South China University of Technology | Qiao X.,Guangzhou Institute of Energy Testing | Luo F.,South China University of Technology | Xu Y.,South China University of Technology
International Journal of Control and Automation | Year: 2016

This paper proposes a novel tuning approach for robust proportional-integral-derivative (PID) controller based on H∞ loop shaping synthesis in combination with gap metric and Particle Swarm Optimization (PSO) algorithm. Different from the traditional research, the controller is designed through the search region constrained by H∞ loop shaping synthesis and gap metric theorem. PSO algorithm is used for tuning the robust PID controller parameters based on the underlying constrained optimization problems without resolving complex arithmetical calculations. The control technique is applied for the robust controller design so as to get a low order structured controller and achieve robust performance and the ability of restraining disturbance. The simulation shows that the proposed method can character the set of all values of the controller parameters that guarantees the robust stability with any supposed accuracy and achieves favorable control performance for uncertain systems. © 2015 2016 SERSC. Source


Qiao X.-H.,South China University of Technology | Qiao X.-H.,Guangzhou Institute of Energy Testing | Luo F.,South China University of Technology | Xu Y.-G.,South China University of Technology
Chinese Control Conference, CCC | Year: 2015

This paper presents robust PID (proportional integral derivative) controller tuning using genetic algorithm and small-gain approach for wastewater treatment. In operational terms, the main control objective is to maintain the concentration of the biomass directly proportional to the influent flow rate with the various disturbance compensation, noisy measurements and varying process model parameters. The robust PID control design is based on a simplified Activated Sludge Model No. 1 (ASM 1) with the description of the nonlinearities by bounded structured uncertainty. The genetic algorithm is used to optimize the PID parameters based on the underlying problems constrained by the small-gain theorem and H∞ specifications without resolving complex mathematical calculations. The simulation shows that the optimization result of PID parameters having the ability to overcome the systems uncertainty. © 2015 Technical Committee on Control Theory, Chinese Association of Automation. Source


Qiao X.,South China University of Technology | Qiao X.,Guangzhou Institute of Energy Testing | Luo F.,South China University of Technology | Xu Y.,South China University of Technology
Proceedings of 6th International Conference on Intelligent Control and Information Processing, ICICIP 2015 | Year: 2015

This paper proposes a novel method to synthesize robust PID (proportional integral derivative) controller via Kharitonov's theorem and genetic algorithm for wastewater treatment. The specifications and Kharitonov's theorem result to solve a non-convex optimal problem subjected to several inequality constraints. The genetic algorithm is used to search the robust PID controller parameters wihout solving the steady-state Riccati equations. The novel robust PID is applicated for simplified Activated Sludge Model No.1 (ASM1) to keep the concentration of the biomass proportional to the influent flow rate with model uncertainties. Simulation shows that the algorithm is simple and effective for uncertain wastewater treatment. © 2015 IEEE. Source


Qiao X.,South China University of Technology | Qiao X.,Guangzhou Institute of Energy Testing | Luo F.,South China University of Technology | Xu Y.,South China University of Technology
Journal of Computational Information Systems | Year: 2015

The robust design of PID controller for interval plants is considered. A new approach is presented which is based on the Kharitonov's theorem and H specifications in combination with a genetic algorithm (GA). Different from the traditional research, the controller is designed through the search region constrained by H specifications and a non-conservative Kharitonov's theorem. The all PID controllers in the region can stabilize the interval system. Such a controller desinged via the conventional techniques is computationally intractable and high order. In order to avoid resolving complex mathematical calculations, the genetic algorithm is used for tuning the optimized PID controller parameters based on the underlying constrained optimization problems. The simulation shows that the proposed method can character the set of all values of the controller parameters that guarantees the robust stability with any supposed accuracy and its solution is reliable. ©, 2015, Binary Information Press. All right reserved. Source


Chang Y.,Guangzhou Institute of Energy Testing | Ling Z.,South China University of Technology
Nano | Year: 2016

Highly ordered anodic aluminum oxide (AAO) membranes with pore interval from 100(Formula presented.)nm to 520(Formula presented.)nm were fabricated successfully in the mixed electrolytes, which are composed of 0.3(Formula presented.)M oxalic acid and 1(Formula presented.)wt.% phosphoric acid/0.01(Formula presented.)M aluminum oxalate. The study results show that oxalic acid volume percentage has an approximate linear relationship with the optimal anodic oxidation voltage. The optimal anodic oxidation voltage is basically equal to the critical oxidation voltage. The theoretical analysis suggests that the anodic oxidation current is closely related to the ionization constants of acid radical ion in the electrolyte. Since the secondary ionization constant of oxalic radical ion is greater than that of phosphoric acid radical ion, the optimal anodic oxidation voltage increases and the steady anodic oxidation current decreases with the decrease of oxalic acid volume percent. © 2016 World Scientific Publishing Company Source

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