Journal of Intelligent & Fuzzy Systems - Volume 29, issue 6

Authors: Chang, En-Chih | Su, Zhiyi | Xu, Ziang | Wu, Rong-Ching

Article Type: Research Article

Abstract: This paper proposes a particle swarm optimization algorithm tuned fuzzy terminal sliding mode control for the application of UPS inverters. Though classic sliding mode control (SMC) is insensitive to system uncertainties, it possesses an infinite system-state convergence time. For high-accuracy tracking control, a terminal sliding mode control (TSMC) is developed to provide a finite system-state convergence time. However, difficult estimation occurs in TSMC, and incurs high UPS inverter voltage harmonics and slow dynamic response. To obtain high-quality UPS inverter output voltage, a fuzzy logic (FL) with a computationally simple and practically easy estimator is integrated into TSMC to resolve system …uncertainties. Simultaneously, the particle swarm optimization (PSO) algorithm is applied to optimally tune the control gains of the TSMC with a fuzzy estimator. Results indicate that the presented combination of PSO, FL and TSMC yields a closed-loop UPS inverter with good performance under various loading conditions. Simulation and experimental results indicate that the proposed control can achieve low total harmonic distortion (THD) under nonlinear loading conditions and fast dynamic response under transient loading conditions. Show more

Keywords: Terminal sliding mode control (TSMC), finite system-state convergence time, fuzzy logic (FL), particle swarm optimization (PSO), total harmonic distortion (THD)

DOI: 10.3233/IFS-151949

Citation: Journal of Intelligent & Fuzzy Systems, vol. 29, no. 6, pp. 2483-2488, 2015

Authors: Wang, Hui | Wang, Jing | Shi, Baofeng

Article Type: Research Article

Abstract: Economic development has resulted in a great threat to sustainability of human living environments. For sustainable development of the economy and the environment, green industry standards have gained preference. Proper evaluation of the green industry would elucidate its characteristics and provide a point of reference for regional green industrial planning. A novel model for fuzzy control model is here established which enable comprehensive and flexible evaluation. Working examples demonstrate the performance agility of the model.

Keywords: Green industry evaluation, fuzzy comprehensive, fuzzy control

DOI: 10.3233/IFS-151951

Citation: Journal of Intelligent & Fuzzy Systems, vol. 29, no. 6, pp. 2489-2494, 2015

Authors: Niu, Guochen | Wang, Li | Zong, Guanghua

Article Type: Research Article

Abstract: With a compliant structure and excellent bending properties, continuum robot has hyper-redundant degrees of freedom, and can be used in space-constrained environments as the aircraft fuel tank. Therefore, a continuum robot is designed to help crews inspect aircraft fuel tanks, which can improve maintenance efficiency and reduce the intensity of crews. According to the requirements of aircraft fuel tank inspection, the compliant and extensible drive mechanisms of the continuum robot are designed. The kinematic models of single joint segment and multi-joint segments of continuum robot are analyzed, and homogeneous transformation matrices are obtained. To improve control performance, a closed-loop fuzzy …controller based on attitude feedback is proposed. The attitude sensor is installed on the top of each joint segment of a snake-like arm to form a closed-loop control system, and a fuzzy controller is designed to achieve fast and accurate control of the robot. The prototype platform of the continuum robot is built, and practical experiments are implemented on the platform. The effectiveness and stability of the fuzzy controller based on attitude feedback are verified. Show more

Keywords: Aircraft fuel tank, continuum robot, attitude feedback, fuzzy logic

DOI: 10.3233/IFS-151952

Citation: Journal of Intelligent & Fuzzy Systems, vol. 29, no. 6, pp. 2495-2503, 2015

Authors: He, Nai-Bao | Gao, Qian | Shen, Lin | Yao, Ke-Ming | Jiang, Chang-Sheng

Article Type: Research Article

Abstract: In this paper, a T-S fuzzy model of the NSV (Nearspace Vehicle) kinematic model is established based on fuzzy approximation theory, and a new fuzzy robust tracking control law is designed in reference to the feedforward control of the linear system. In order to account for a case in which no augmented matrix is introduced, the control law is designed as a compound form of feedback and feedforward, and the gains of feedback and feedforward are solved by LMI (Linear Matrix Inequalities). The strategy is applied to the anti-interference control of NSV attitudes, and the convergence of tracking errors is …analyzed according to the Lyapunov method. Simulation results based on the NSV demonstrate the validity of the proposed method. Show more

Keywords: NSV, T-S fuzzy control, anti-interference control

DOI: 10.3233/IFS-151953

Citation: Journal of Intelligent & Fuzzy Systems, vol. 29, no. 6, pp. 2505-2511, 2015

Authors: Pang, Hui | Fu, Wen-Qiang | Liu, Kai

Article Type: Research Article

Abstract: This paper investigates the problem of stability analysis and fuzzy-smith compensation control for semi-active suspension systems with time delay. The dynamic system of the suspension system with time delay is first formulated in terms of control objectives, such as ride comfort, road handling, and suspension deflection. By using the Lyapunov stability analysis, the necessary and sufficient condition of the critical time delay for the semi-active suspension is derived, and the numerical computation method of solving the asymptotic stability area for this suspension system is presented. Then, our work focuses on designing a Fuzzy-Smith predictive controller to satisfy suspension performance requirements. …The control law adopted here is based on the smith predictive control principle, which ensures the control accuracy and stability of a time-delay suspension system. In order to overcome the challenging issues of the model uncertainties of input time delay, a Fuzzy-Smith predictive controller with time delay is established for the semi-active suspension. Furthermore, simulation and test results for the semi-active suspension are provided to demonstrate the effectiveness and feasibility of the proposed method. Show more

Keywords: Semi-active suspension, time delay, stability analysis, fuzzy control, smith control

DOI: 10.3233/IFS-151954

Citation: Journal of Intelligent & Fuzzy Systems, vol. 29, no. 6, pp. 2513-2525, 2015

Authors: Ma, Yi-Wei | Zhang, Wei-Hua | Long, Han

Article Type: Research Article

Abstract: Differential geometric guidance command (DGGC) is widely acknowledged as a better method of endoatmospheric interception than three-dimensional (3D) pure proportional navigation (PPN). DGGC can be regarded as an intelligent method due to its sophisticated sense of Lyapunov. However, traditional DGGC cannot guarantee line of sight (LOS) finite time convergence (FTC) to zero against maneuvering targets, particularly in regard to a stable, robust trajectory, which effectively lowers the overall intelligence of the method. This study proposes employment of the fuzzy self-adaptive guidance law to estimate target acceleration and enhance guidance intelligence, which in turn enhances the intelligence of the traditional DGGC …method, making it more adaptive and applicable to practical interception scenarios. Finally, the effectiveness of this newly-proposed guidance method is demonstrated by numerical simulation. Show more

Keywords: Differential geometric guidance command (DGGC), finite time convergence (FTC), fuzzy self-adaptive guidance law, fuzzy logic (FC)

DOI: 10.3233/IFS-151955

Citation: Journal of Intelligent & Fuzzy Systems, vol. 29, no. 6, pp. 2527-2536, 2015

Authors: Zhang, Lianpeng | Cong, Dacheng | Yang, Zhidong | Yang, Chifu | Han, Junwei

Article Type: Research Article

Abstract: The purpose of shaking tables is to replicate the desired motion to specimen, which needs to ensure not only the synchronization precision of two tables, but the tracking precision for the desired signal. Due to the nonlinearity of system and eccentric of load masses, both tracking and synchronous accuracy are poor. To solve this problem, this article proposes a novel hybrid controller combined a hybrid fuzzy PD cross-coupled controller (CCC) with an adaptive inverse controller (AIC). Based on state variable error optimal control idea, a 2-stage parallel hybrid fuzzy logic controller (FLC) composed of fuzzy PD and accelerated fuzzy PD …is proposed to CCC to reduce synchronization error. In order to improve the tracking accuracy, an AIC based on recursive extended least square (RELS) algorithm is used to estimate the close-loop inverse transfer functions of double shaking tables to adaptively tune the drive signals. The combination of hybrid fuzzy PD CCC and AIC has the advantage of integrating a superiority of the two control techniques for better control performance. The procedure of the proposed control scheme is programmed, and tests are carried out in various conditions. The test results demonstrated the viability of the proposed hybrid control scheme. Show more

Keywords: Double shaking tables, synchronous tracking control, fuzzy logic controller, adaptive inverse controller

DOI: 10.3233/IFS-151956

Citation: Journal of Intelligent & Fuzzy Systems, vol. 29, no. 6, pp. 2537-2546, 2015

Authors: Xu, Feng | Zhu, Wenzhi | Xu, Jingfeng | Lai, Haiguang | Zheng, Chenghui

Article Type: Research Article

Abstract: In large-scale wireless sensor networks, a low energy consumption requirement in data communication has become more prominent, but the currently existing solutions are unsatisfactory. Based on the complexity and uncertainty in the node energy consumption and communication path in wireless sensor networks, this paper proposes a low energy adaptive clustering multi-hop routing protocol based on fuzzy decision (FD-LEACH). In order to constitute a dynamic network routing structure, the protocol introduces the concept of fuzzy set and uses the theory of fuzzy decision to select excellent communication relay nodes. Analysis and simulation results demonstrate that the proposed protocol is more effectively …adapted to large-scale wireless networks, which can provide a better balance in energy consumption and significantly prolong network lifetime. Show more

Keywords: Large-scale WSN, multi-hop, fuzzy set, fuzzy decision

DOI: 10.3233/IFS-151957

Citation: Journal of Intelligent & Fuzzy Systems, vol. 29, no. 6, pp. 2547-2554, 2015

Authors: Shao, Wu | Meng, Zhi-Qiang | Zhou, Hua-An | Zhang, Kai

Article Type: Research Article

Abstract: A photovoltaic array simulator is designed based on a Buck DC converter with a fuzzy PID control algorithm to account for current feedback. The conventional PID controller cannot self-tune the parameters, therefore the new algorithm uses a fuzzy controller to solve the problem. The difference between the reference current and the real-time feedback current of the Buck converter and its rate of change are regarded as two input variables of the fuzzy controller. The fuzzy controller outputs the adjustment quantities, which are then used to adjust the PID parameters. Next, the duty cycle of the electronic power switch is adjusted …by a closed-loop fuzzy PID algorithm to make the output current of the simulator work at the anticipated point of the photovoltaic array on the I-V characteristic curve and realize the simulation of photovoltaic characteristics. Results of the simulation and experiment indicate that the proposed fuzzy PID control simulator can not only accurately simulate the static output characteristics of a photovoltaic cell, but can also rapidly realize the dynamic characteristics when the load or the external environment changes. The approximate error was less than 3.6% , the overshoot was less than 3.5% , the ripple coefficient was less than 3% , and the tracking time was approximately 0.3s. The fuzzy PID control simulator can work well as PV array experiment equipment for the research and development of photovoltaic systems. Show more

Keywords: Photovoltaic array simulator, fuzzy PID controller, current feedback, I-V characteristic curve, Buck converter

DOI: 10.3233/IFS-151958

Citation: Journal of Intelligent & Fuzzy Systems, vol. 29, no. 6, pp. 2555-2564, 2015

Authors: Pan, Ming | Yan, Jun | Tu, Qunzhang | Jiang, Chengming

Article Type: Research Article

Abstract: A new hybrid system of a tracked bulldozer is designed, which primarily consists of an engine-generator set, a battery pack, and a supercapacitor. According to the power requirements of typical working conditions and the output feature of three power sources, a fuzzy control and wavelet transform-based energy management strategy is proposed. Models of the hybrid system are built in Matlab/Simulink and are then transformed into C codes, which are sent to dSPACE. The energy management strategy is verified through HILS (hardware in loop simulation), which demonstrates that the designed strategy is good for increasing the fuel efficiency of the engine …and prolonging the working life of the battery pack, which can be used in the real-time control of the hybrid tracked bulldozer. Show more

Keywords: Fuzzy control, wavelet transform, energy management, hybrid bulldozer, HILS

DOI: 10.3233/IFS-151959

Citation: Journal of Intelligent & Fuzzy Systems, vol. 29, no. 6, pp. 2565-2574, 2015